Guanghao Sun
| Department of Mechanical and Intelligent Systems Engineering | Associate Professor |
| Cluster II (Emerging Multi-interdisciplinary Engineering) | Associate Professor |
| Center for Neuroscience and Biomedical Engineering | Associate Professor |
| Department of Informatics | Associate Professor |
| Cluster I (Informatics and Computer Engineering) | Associate Professor |
Researcher Information
Degree
Research Keyword
Field Of Study
Career
- Aug. 2024 - Present
電気通信大学 国際社会実装センター, 准教授 - 01 Oct. 2020
The University of Electro-Communications, The Graduate School of Informatics and Engineering, Associate Professor - 01 Oct. 2015 - 30 Sep. 2020
The University of Electro-Communications, Graduate School of Informatics and Engineering, Assistant Professor - 01 Apr. 2015 - 30 Sep. 2015
Postdoctoral Fellow (PD) of the Japan Society for the Promotion of Science (JSPS) - 01 Apr. 2015
Tokyo Metropolitan University, Faculty of System Design, Visiting Research Fellow - 01 Apr. 2013 - 31 Mar. 2015
Doctoral Course Students (DC1) of the Japan Society for the Promotion of Science (JSPS) - 2015
The University of Electro-Communications, Center for Neuroscience and Biomedical Engineering, 准教授 - 2015
The University of Electro-Communications, Center for Neuroscience and Biomedical Engineering, 兼務教員
Educational Background
Member History
- 2018 - Present
Review Editor, Computational Physiology and Medicine Frontiers in Physiology - Jul. 2023 - Jul. 2023
22nd IEEE Statistical Signal Processing (SSP) Workshop, Special Session Chair: Contactless Physiological Signals Measurement and Processing for Smart Health, Society - Dec. 2020 - Mar. 2021
科学研究費委員会 令和3年度 審査第三部会第25020小委員会委員 （科研費 基盤研究（Ｃ） 審査委員）, 日本学術振興会, Society - 2020 - 2020
スマートセンシング・デバイス融合技術分科会 副委員長, 電子情報技術産業協会
Research Activity Information
Award
- May 2024
一般社団法人 電気学会
小児救急医療向け非接触呼吸・心拍同時計測器の開発
第80回電気学術振興賞 進歩賞 - Oct. 2022
High-Accuracy Heart Rate Estimation by Half/Double BBI Moving Average and Data Recovery Algorithm of 24GHz CW-Doppler Radar
Best Student Paper Award at The 2022 International Conference on Advanced Technologies for Communications, Nguyen Huu Son;Hoang Thi Yen;Guanghao Sun;Koichiro Ishibashi - Oct. 2022
I/Q Channel Selection for 24 GHz CW Radar to Non-Contact Vital Signs Detection for Health Check System.
Outstanding Demo Award at The 2022 IEEE 11th Global Conference on Consumer Electronics, Hoang Thi Yen;Masaki Kurosawa;Tetsuo Kirimoto;Satoshi Suzuki;Guanghao Sun - Mar. 2019
Dengue Fever Screening Using Vital Signs by Contactless Microwave Radar and Machine Learning.
Student Travel Award at IEEE Sensors Applications Symposium - 2019
Development of Remote Infection Screening System Using RGB Camera and Thermography.
Young Researcher Encouragement Award at The 1st ECTI UEC Workshop on AI and Application, Toshiaki Negishi;Guanghao Sun;Tetsuo Kirimoto
International society - Dec. 2016
A Low-cost Screening System for Objective Diagnosis of Major Depressive Disorder Using Heart Rate Variability Derived from Photoplethysmogram Sensor
BES-SEC Design Merit Award
International society - Feb. 2015
China Scholarship Council
This award was founded by the Chinese government in 2003 with the purpose of rewarding the academic excellence of self-financed Chinese students studying overseas.
2014 Chinese Government Award for Outstanding Self-Financed Students Abroad - Dec. 2013
The 15th International Conference on Biomedical Engineering (ICBME 2013)
Design an infection screening system based on multiple vital-signs for prevention of pandemic diseases in developing countries.
Silver Award BES-SEC Students' Design Competition
Paper
- Radar-based contactless heart beat detection with a modified Pan–Tompkins algorithm
Hoang Thi Yen; Vuong Tri Tiep; Van-Phuc Hoang; Quang-Kien Trinh; Hai-Duong Nguyen; Nguyen Trong Tuyen; Guanghao Sun
Biomedical Physics & Engineering Express, 31 Jan. 2025
Scientific journal - Non-invasive acquisition of vital data in anesthetized rats using laser and radar application.
Toshiaki Kawabe; Shota Kita; Isao Ohmura; Ryuji Michino; Hidenori Watanabe; Guanghao Sun; Seiya Inoue
Laboratory animals, 236772241265541-236772241265541, 11 Sep. 2024, True, The aim of this study was to verify the possibility of obtaining vital sign information using a laser and radar sensor in a manner that is non-invasive and painless for test animals. A dataset was obtained from respiratory movement of anaesthetized male F344 rats, signals of laser and radar sensors were recorded simultaneously with vital data acquired with an integrated multiple-channel intraoperative monitor. In addition, respiratory movements were also video recorded, and used as reference data of respiration rate (RR; ref-RR). Reference data for heart rate (HR; ref-HR) were obtained from the R wave of electrocardiogram data for each epoch. Signals recorded from the radar sensor (I- and Q-signals) were input to a computer, and HR (radar-HR) and RR (radar-RR) were estimated using the frequency analysis method. Among the six positions where respiratory movements were measured by the laser sensor, the number of peak counts matched the visual counts of respiratory movements in the video records. The respiratory movements were significantly the greatest over the most caudal rib in the dorsal (p < 0.001). The average radar-RR and ref-RR values showed correspondence (ref-RR, 69 ± 6.2 breaths/min; radar-RR, 68 ± 5.7 breaths/min (p = 0.04-1.00); equivalence ratio, 86%). The radar-HR data showed slight variability; however, there was 80% homology compared with the ref-HR values (ref-HR, 336 ± 19.6 beats/min; radar-HR, 348 ± 34.1 (p = 0.10-0.95)). Although comparison of the data under noradrenaline administration failed to track drug-induced changes in some cases, the HR and RR data of anesthetized rats measured from the radar sensor system showed comparable accuracy to other conventional methods.
Scientific journal, English - Updating ``Medical radar signal dataset for non-contact respiration and heart rate measurement” with expanded data on laboratory rats under isoflurane anesthesia
Guanghao Sun; Masaki Kurosawa; Yoshiki Ninomiya; Kohei Baba; Yutaka Kano
Lead, Data in Brief, Elsevier BV, 55, 110722-110722, Aug. 2024
Scientific journal - Heart Rate Variability Monitoring under Stimulation Input Using Non-Contact CW Radar
Hoang Thi Yen; Van-Phuc Hoang; Guanghao Sun
Last, REV Journal on Electronics and Communications, The Radio and Electronics Association of Vietnam (REV), 13 May 2024, Recent studies have mainly relied on radar technology for extracting crucial vital signs because of its ability to measure without physical contact. The focus on deriving cardiac interbeat interval and heart rate variability has gained significance due to its complexity and relevance in healthcare. Our investigation involved a detailed analysis of continuous wave radar signals to enhance the extraction of chest wall movement data. Using a convolution algorithm, we eliminated the respiratory component from the signal, while a locally projective noise reduction algorithm helped isolate the heartbeat component. Subsequently, a derivation filter was applied to pinpoint the R peak of the heartbeat, facilitating the collection of IBI and HRV metrics. This methodology proved effective for individuals in a relaxed, motionless state. However, its efficacy in cases of elevated heart rates caused by factors such as exercise or caffeine consumption remained uncertain. For subjects with large changes in heart rate followed by large changes in cardiac IBI, we made a small improvement in the algorithm. By performing a window shift of 10 seconds with an overlap of 1 second. Each 10-second data segment is fed into the algorithm. At each data segment, we perform multiple iterations with decreasing number of neighbors until no further change is made. With this adjustment, the results achieved in the group of subjects using input stimulation to increase heart rate such as exercise, or drinking coffee were indicated a strong correlation of 96.38% between radar-based measurements and reference measurements for this group of subjects, affirming the effectiveness of the proposed method in such scenarios.
Scientific journal - Performance Enhancement of Thermal Image Analysis for Noncontact Cardiopulmonary Signal Extraction
Kohei Nakai; Masaki Kurosawa; Tetsuo Kirimoto; Takemi Matsui; Shigeto Abe; Satoshi Suzuki; Guanghao Sun
Corresponding, Infrared Physics & Technology, Elsevier BV, 105244-105244, Feb. 2024, Peer-reviwed
Scientific journal - Non-Contact Estimation of Cardiac Inter-Beat Interval and Heart Rate Variability Using Time-Frequency Domain Analysis for CW Radar
Hoang Thi Yen; Masaki Kurosawa; Tetsuo Kirimoto; Yukiya Hakozaki; Takemi Matsui; Guanghao Sun
Corresponding, IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, Institute of Electrical and Electronics Engineers (IEEE), 7, 4, 457-467, Dec. 2023, Peer-reviwed
Scientific journal - Development of a stand‐alone portable respiratory rate monitor using a Doppler radar
Miyu Katoh; Takeru Kanazawa; Yoshifusa Abe; Guanghao Sun; Takemi Matsui
Electronics and Communications in Japan, Wiley, 106, 4, 09 Oct. 2023, Abstract
Respiratory rate (RR) is known to be a more accurate predictor of clinical deterioration than other vital signs. However, there were few respiration measurement devices certified as medical devices that could be used in daily clinical settings. Therefore, using a bult‐in microcontroller (72×57×12 mm) instead of a personal computer, we developed a portable stand‐alone respiration measurement device with minimum workload in computing that can be used for non‐contact measurement in 30 s using a Doppler radar. In this study, the problems of respiration measurement using a Doppler radar, such as miscounting of respiratory peaks were clarified, and proposed device with respiratory peaks miscount prevention algorithm achieved high accuracy RR measurement. Clinical testing was conducted on pediatric outpatients of Children's Medical Center, Showa University Koto Toyosu Hospital. The measurement accuracy of the system was confirmed to be comparable to the respiration measurement accuracy of stationary certified medical devices used in hospital, such as capnometers and the chest wall impedance method used in bedside monitors.
Scientific journal - Pulse rate variability estimation method based on imaging-photoplethysmography and application to telepsychiatry
Maho Nishikawa; Sumiyakhand Dagdanpurev; Takuya Hashimoto; Masaki Kurosawa; Tetsuo Kirimoto; Toshikazu Shinba; Takemi Matsui; Guanghao Sun
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 24 Jul. 2023
International conference proceedings - Major Depressive Disorder and Chronic Fatigue Syndrome Show Characteristic Heart Rate Variability Profiles Reflecting Autonomic Dysregulations: Differentiation by Linear Discriminant Analysis.
Toshikazu Shinba; Daisuke Kuratsune; Shuntaro Shinba; Yujiro Shinba; Guanghao Sun; Takemi Matsui; Hirohiko Kuratsune
Sensors (Basel, Switzerland), 23, 11, 04 Jun. 2023, True, Major depressive disorder (MDD) and chronic fatigue syndrome (CFS) have overlapping symptoms, and differentiation is important to administer the proper treatment. The present study aimed to assess the usefulness of heart rate variability (HRV) indices. Frequency-domain HRV indices, including high-frequency (HF) and low-frequency (LF) components, their sum (LF+HF), and their ratio (LF/HF), were measured in a three-behavioral-state paradigm composed of initial rest (Rest), task load (Task), and post-task rest (After) periods to examine autonomic regulation. It was found that HF was low at Rest in both disorders, but was lower in MDD than in CFS. LF and LF+HF at Rest were low only in MDD. Attenuated responses of LF, HF, LF+HF, and LF/HF to task load and an excessive increase in HF at After were found in both disorders. The results indicate that an overall HRV reduction at Rest may support a diagnosis of MDD. HF reduction was found in CFS, but with a lesser severity. Response disturbances of HRV to Task were observed in both disorders, and would suggest the presence of CFS when the baseline HRV has not been reduced. Linear discriminant analysis using HRV indices was able to differentiate MDD from CFS, with a sensitivity and specificity of 91.8% and 100%, respectively. HRV indices in MDD and CFS show both common and different profiles, and can be useful for the differential diagnosis.
Scientific journal, English - Development of a non-contact 15-second pediatric respiratory rate monitor using microwave radar and its clinical application.
Miyu Katoh; Takeru Kanazawa; Yoshifusa Abe; Guanghao Sun; Takemi Matsui
Acta paediatrica (Oslo, Norway : 1992), 27 Oct. 2022, True
Scientific journal, English - High-Accuracy Heart Rate Estimation by Half/Double BBI Moving Average and Data Recovery Algorithm of 24GHz CW-Doppler Radar
Nguyen Huu Son; Hoang Thi Yen; Guanghao Sun; Koichiro Ishibashi
2022 International Conference On Advanced Technologies For Communications, -, Oct. 2022, Peer-reviwed
International conference proceedings, English - Real-Time Medical Radar-based Vital Sign Monitoring System Implemented with Signal Quality Classification Algorithm
Hoang Thi Yen; Nguyen Huu Son; Hoang Van Phuc; Trinh Quang Kien; Tran Xuan Nam; Koichiro Ishibashi; Guanghao Sun
2022 International Conference On Advanced Technologies For Communications, -, Oct. 2022, Peer-reviwed
International conference proceedings, English - I/Q channel selection for 24 GHz CW radar to non-contact vital signs detection for health check system
Hoang Thi Yen; Masaki Kurosawa; Tetsuo Kirimoto; Satoshi Suzuki; Guanghao Sun
IEEE 11th Global Conference on Consumer Electronics, -, Oct. 2022, Peer-reviwed
International conference proceedings, English - Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on healthy adults and application to neonatal monitoring at an NICU.
Keisuke Edanami; Masaki Kurosawa; Hoang Thi Yen; Takeru Kanazawa; Yoshifusa Abe; Tetsuo Kirimoto; Yu Yao; Takemi Matsui; Guanghao Sun
Computer methods and programs in biomedicine, 226, 107163-107163, 27 Sep. 2022, True, BACKGROUND AND OBJECTIVE: Continuous monitoring of vital signs plays a pivotal role in neonatal intensive care units (NICUs). In this paper, we present a system for monitoring fully non-contact medical radar-based vital signs to measure the respiratory rate (RR), heart rate (HR), I:E ratio, and heart rate variability (HRV). In addition, we evaluated its performance in a physiological laboratory and examined its adaptability in an NICU. METHODS: A non-contact medical radar-based vital sign monitoring system that includes 24 GHz radar installed in an incubator was developed. To enable reliable monitoring, an advanced signal processing algorithm (i.e., a nonlinear filter to separate respiration and heartbeat signals from the output of radar), template matching to extract cardiac peaks, and an adaptive peak detection algorithm to estimate cardiac peaks in time-series were proposed and implemented in the system. Nine healthy subjects comprising five males and four females (24 ± 5 years) participated in the laboratory test. To evaluate the adaptability of the system in an NICU setting, we tested it with three hospitalized infants, including two neonates. RESULTS: The results indicate strong agreement in healthy subjects between the non-contact system and reference contact devices for RR, HR, and inter-beat interval (IBI) measurement, with correlation coefficients of 0.83, 0.96, and 0.94, respectively. As anticipated, the template matching and adaptive peak detection algorithms outperformed the conventional approach. These showed a more accurate IBI close to the reference Bland-Altman analysis (proposed: bias of -3 ms, and 95% limits of agreement ranging from -73 to 67 ms; conventional: bias of -11 ms, and 95% limits of agreement ranging from -229 to 207 ms). Moreover, in the NICU clinical setting, the IBI correlation coefficient and 95% limit of agreement in the conventional method are 0.31 and 91 ms. The corresponding values obtained using the proposed method are 0.93 and 21 ms. CONCLUSION: The proposed system introduces a novel approach for NICU monitoring using a non-contact medical radar sensor. The signal processing method combining cardiac peak extraction algorithm with the adaptive peak detection algorithm shows high adaptability in detecting IBI the time series in various application settings.
Scientific journal, English - Deep Learning Approach for Classifying Bacteria Types Using Morphology of Bacterial Colony
Masaki Amano; Tho Mai Duc; Koichiro Ishibashi; Guanghao Sun; Trung Nguyen Vu; Hoi Le Thi; Hoa Nguyen Thi
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, Jul. 2022, Peer-reviwed
International conference proceedings, English - An mHealth App for the Non-contact Measurement of Pulmonary Function Using the Smartphone’s Built-in Depth Sensor
Masaru Mitsuya; Masaki Kurosawa; Tetsuo Kirimoto; Takemi Matsui; Guanghao Sun
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)., -, Jul. 2022, Peer-reviwed
International conference proceedings, English - Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation.
Batbayar Unursaikhan; Gereltuya Amarsanaa; Guanghao Sun; Kenichi Hashimoto; Otgonbat Purevsuren; Lodoiravsal Choimaa; Takemi Matsui
Frontiers in Physiology, section Computational Physiology and Medicine, -, 905931--, Jun. 2022, Peer-reviwed, True, Background: To conduct a rapid preliminary COVID-19 screening prior to polymerase chain reaction (PCR) test under clinical settings, including patient's body moving conditions in a non-contact manner, we developed a mobile and vital-signs-based infection screening composite-type camera (VISC-Camera) with truncus motion removal algorithm (TMRA) to screen for possibly infected patients. Methods: The VISC-Camera incorporates a stereo depth camera for respiratory rate (RR) determination, a red-green-blue (RGB) camera for heart rate (HR) estimation, and a thermal camera for body temperature (BT) measurement. In addition to the body motion removal algorithm based on the region of interest (ROI) tracking for RR, HR, and BT determination, we adopted TMRA for RR estimation. TMRA is a reduction algorithm of RR count error induced by truncus non-respiratory front-back motion measured using depth-camera-determined neck movement. The VISC-Camera is designed for mobile use and is compact (22 cm × 14 cm × 4 cm), light (800 g), and can be used in continuous operation for over 100 patients with a single battery charge. The VISC-Camera discriminates infected patients from healthy people using a logistic regression algorithm using RR, HR, and BT as explanatory variables. Results are available within 10 s, including imaging and processing time. Clinical testing was conducted on 154 PCR positive COVID-19 inpatients (aged 18-81 years; M/F = 87/67) within the initial 48 h of hospitalization at the First Central Hospital of Mongolia and 147 healthy volunteers (aged 18-85 years, M/F = 70/77). All patients were on treatment with antivirals and had body temperatures <37.5°C. RR measured by visual counting, pulsimeter-determined HR, and BT determined by thermometer were used for references. Result: 10-fold cross-validation revealed 91% sensitivity and 90% specificity with an area under receiver operating characteristic curve of 0.97. The VISC-Camera-determined HR, RR, and BT correlated significantly with those measured using references (RR: r = 0.93, p < 0.001; HR: r = 0.97, p < 0.001; BT: r = 0.72, p < 0.001). Conclusion: Under clinical settings with body motion, the VISC-Camera with TMRA appears promising for the preliminary screening of potential COVID-19 infection for afebrile patients with the possibility of misdiagnosis as asymptomatic.
Scientific journal, English - A medical radar system for non-contact vital sign monitoring and clinical performance evaluation in hospitalized older patients
Hoang Thi Yen; Masaki Kurosawa; Tetsuo Kirimoto; Yukiya Hakozaki; Takemi Matsui; Guanghao Sun
Biomedical Signal Processing and Control, 75, May 2022, Peer-reviwed, Medical radar plays an important role in non-contact vital sign monitoring. However, radar is sensitive and susceptible to noise that deteriorates signal quality, making its application unstable in medical practice settings. Previous studies have focused on detecting vital signs from radar output, but mainly used high-quality signals in laboratory settings. Therefore, signal quality evaluation to maintain good-quality signals for processing is crucial for radar applications. This paper presents a vital sign monitoring system using medical radar that automatically evaluates signal quality to eliminate unsatisfactory signals using the support-vector machine and to extract heartbeat and respiration signals using the singular value decomposition method. To evaluate the system performance, we tested it on 10 healthy subjects and compared the obtained vital signs with those measured using a contact-type ECG device and a respiration belt. Two evaluation steps were conducted. First, we measured 10 subjects for evaluating the signal quality in a laboratory setting. The results showed that the accuracy for each subject archive was 93.2%–100%. Second, we extracted vital signs including respiration rate (RR) and the heart rate (HR) following signal quality classification. The results showed RR and HR deviation from 0 to 1 bpm, and 0 to 4 bpm, respectively. Moreover, the system was applied in a real medical practice setting for continuously monitoring the bedside of hospitalized older patients at a hospital.
Scientific journal, English - Noncontact Monitoring of Relative Changes in Blood Pressure Using Microwave Radar Sensors
Satoshi Suzuki; Guanghao Sun; Masaaki Hoshiga; Kentaro Kotani; Takafumi Asao
Journal of Biomedical Science and Engineering, 15, 1, Jan. 2022, Peer-reviwed
Scientific journal, English - Evaluation of Remote Photoplethysmography Measurement Conditions toward Telemedicine Applications
Guanghao Sun
Sensors, MDPI AG, 21, 24, 8357-8357, 14 Dec. 2021, Peer-reviwed, True, Camera-based remote photoplethysmography (rPPG) is a low-cost and casual non-contact heart rate measurement method suitable for telemedicine. Several factors affect the accuracy of measuring the heart rate and heart rate variability (HRV) using rPPG despite HRV being an important indicator for healthcare monitoring. This study aimed to investigate the appropriate setup for precise HRV measurements using rPPG while considering the effects of possible factors including illumination, direction of the light, frame rate of the camera, and body motion. In the lighting conditions experiment, the smallest mean absolute R–R interval (RRI) error was obtained when light greater than 500 lux was cast from the front (among the following conditions—illuminance: 100, 300, 500, and 700 lux; directions: front, top, and front and top). In addition, the RRI and HRV were measured with sufficient accuracy at frame rates above 30 fps. The accuracy of the HRV measurement was greatly reduced when the body motion was not constrained; thus, it is necessary to limit the body motion, especially the head motion, in an actual telemedicine situation. The results of this study can act as guidelines for setting up the shooting environment and camera settings for rPPG use in telemedicine.
Scientific journal, English - Infectious Disease Screening system using Medical Radar and Data Quality Assessment by Efficient Neural Network Hardware
Koki Kumagai; Tho Mai Duc; Guanghao Sun; Koichiro Ishibashi
Symposium on Computer Science & Engineering, -, -, 2021, Peer-reviwed
International conference proceedings, English - MCU Process Vital Sign Acquisition using Contactless Doppler Radar
Koichiro Ishibashi; Hideyuki Tsujimoto; Guanghao Sun
Symposium on Computer Science & Engineering, -, -, 2021, Peer-reviwed
International conference proceedings, English - Development of a Novel Web Camera-Based Contact-Free Major Depressive Disorder Screening System Using Autonomic Nervous Responses Induced by a Mental Task and its Clinical Application
Batbayar Unursaikhan; Nobuaki Tanaka; Guanghao Sun; Sadao Watanabe; Masako Yoshii; Kazuki Funahashi; Fumihiro Sekimoto; Fumiaki Hayashibara; Yutaka Yoshizawa; Lodoiravsal Choimaa; Takemi Matsui
Frontiers in Physiology, section Computational Physiology and Medicine, 642986, 2021, Peer-reviwed, Background: To increase the consultation rate of potential major depressive disorder (MDD) patients, we developed a contact-type fingertip photoplethysmography-based MDD screening system. With the outbreak of SARS-CoV-2, we developed an alternative to contact-type fingertip photoplethysmography: a novel web camera-based contact-free MDD screening system (WCF-MSS) for non-contact measurement of autonomic transient responses induced by a mental task. Methods: The WCF-MSS measures time-series interbeat intervals (IBI) by monitoring color tone changes in the facial region of interest induced by arterial pulsation using a web camera (1920 × 1080 pixels, 30 frames/s). Artifacts caused by body movements and head shakes are reduced. The WCF-MSS evaluates autonomic nervous activation from time-series IBI by calculating LF (0.04–0.15 Hz) components of heart rate variability (HRV) corresponding to sympathetic and parasympathetic nervous activity and HF (0.15–0.4 Hz) components equivalent to parasympathetic activities. The clinical test procedure comprises a pre-rest period (Pre-R; 140 s), mental task period (MT; 100 s), and post-rest period (Post-R; 120 s). The WCF-MSS uses logistic regression analysis to discriminate MDD patients from healthy volunteers via an optimal combination of four explanatory variables determined by a minimum redundancy maximum relevance algorithm: HF during MT (HFMT), the percentage change of LF from pre-rest to MT (%ΔLF(Pre–R⇒MT)), the percentage change of HF from pre-rest to MT (%ΔHF(Pre–R⇒MT)), and the percentage change of HF from MT to post-rest (%ΔHF(MT⇒Post–R)). To clinically test the WCF-MSS, 26 MDD patients (16 males and 10 females, 20–58 years) were recruited from BESLI Clinic in Tokyo, and 27 healthy volunteers (15 males and 12 females, 18–60 years) were recruited from Tokyo Metropolitan University and RICOH Company, Ltd. Electrocardiography was used to calculate HRV variables as references. Result: The WCF-MSS achieved 73% sensitivity and 85% specificity on 5-fold cross-validation. IBI correlated significantly with IBI from reference electrocardiography (r = 0.97, p < 0.0001). Logit scores and subjective self-rating depression scale scores correlated significantly (r = 0.43, p < 0.05). Conclusion: The WCF-MSS seems a promising contact-free MDD screening apparatus. This method enables web camera built-in smartphones to be used as MDD screening systems.
Scientific journal, English - Proof-Of-Principle Experiment on 24 GHz Medical Radar for Non-Contact Vital Signs Measurement
Hoang Thi Yen; Masaki Kurosawa; Tetsuo Kirimoto; Keisuke Edanami; Guanghao Sun
The 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, 2021, Peer-reviwed
International conference proceedings, English - Design and Evaluation of Digital Filters for Non-Contact Measuring of HRV using Medical Radar and Its Application in Bedside Patient Monitoring System
Keisuke Edanami; Yu Yao; Hoang Thi Yen; Masaki Kurosawa; Tetsuo Kirimoto; Yukiya Hakozaki; Takemi Matsui; Guanghao Sun
The 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), The 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, 6962-6965, 2021, Peer-reviwed, A non-contact bedside monitoring system using medical radar is expected to be applied to clinical fields. Our previous studies have developed a monitoring system based on medical radar for measuring respiratory rate (RR) and heart rate (HR). Heart rate variability (HRV), which is essentially implemented in advanced monitoring system, such as prognosis prediction, is a more challenging biological information than the RR and HR. In this study, we designed a HRV measurement filter and proposed a method to evaluate the optimal cardiac signal extraction filter for HRV measurement. Because the cardiac component in the radar signal is much smaller than the respiratory component, it is necessary to extract the cardiac element from the radar output signal using digital filters. It depends on the characteristics of the filter whether the HRV information is kept in the extracted cardiac signal or not. A cardiac signal extraction filter that is not distorted in the time domain and does not miss the cardiac component must be adopted. Therefore, we focused on evaluating the interval between the R-peak of the electrocardiogram (ECG) and the radar-cardio peak of the cardiac signal measured by radar (R-radar interval). This is based on the fact that the time between heart depolarization and ventricular contraction is measured as the R-radar interval. A band-pass filter (BPF) with several bandwidths and a nonlinear filter, locally projective adaptive signal separation (LoPASS), were analyzed and compared. The optimal filter was quantitatively evaluated by analyzing the distribution and standard deviation of the R-radar intervals. The performance of this monitoring system was evaluated in elderly patient at the Yokohama Hospital, Japan.
International conference proceedings, English - Non-Contact Measurement of Pulse Rate Variability Using a Webcam and Application to Mental Illness Screening System
Maho Nishikawa; Batbayar Unursaikhan; Takuya Hashimoto; Masaki Kurosawa; Tetsuo Kirimoto; Toshikazu Shinba; Takemi Matsui; Guanghao Sun
The 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, 7016-7019, 2021, Peer-reviwed, The COVID-19 pandemic is a global health crisis. Mental health is critical in such uncertain situations, particularly when people are required to significantly restrict their movements and change their lifestyles. Under these conditions, many countries have turned to telemedicine to strengthen and expand mental health services. Our research group previously developed a mental illness screening system based on heart rate variability (HRV) analysis, enabling an objective and easy mental health self-check. This screening system cannot be used for telemedicine because it uses electrocardiography (ECG) and contact photoplethysmography (PPG), that are not widely available outside of a clinical setting. The purpose of this study is to enable the extension of the aforementioned system to telemedicine by the application of non-contact PPG using an RGB webcam, also called imaging-photoplethysmography (iPPG). The iPPG measurement errors occur due to changes in the relative position between the camera and the target, and due to changes in light. Conventionally, in image processing, the pixel value of the entire face region is used. We propose skin pixel extraction to eliminate blinks, eye movements, and changes in light and shadow. In signal processing, the green channel signal is conventionally used as a pulse wave owing to the absorption characteristics of blood flow. Taking advantage of the fact that the red and blue channels contain noise, we propose a signal reconstruction method for removing noise and strengthening the signal in the pulse rate variability (PRV) frequency band by weighting the three signals of the RGB camera. We conducted an experiment with 13 healthy subjects, and showed that the PRV index and pulse rate (PR) errors estimated by the proposed method were smaller than those of the conventional method. The correlation coefficients between estimated values by the proposed method and reference values of LF, HF, and PR were 0.86, 0.69, and 0.96, respectively.
International conference proceedings, Japanese - Return-to-Work Screening by Linear Discriminant Analysis of Heart Rate Variability Indices in Depressed Subjects
Toshikazu Shinba; Keizo Murotsu; Yosuke Usui; Yoshinori Andow; Hiroshi Terada; Nobutoshi Kariya; Yoshitaka Tatebayashi; Yoshiki Matsuda; Go Mugishima; Yujiro Shinba; Guanghao Sun; Takemi Matsui
Sensors, -, 15, 2021, Peer-reviwed, True, Using a linear discriminant analysis of heart rate variability (HRV) indices, the present study sought to verify the usefulness of autonomic measurement in major depressive disorder (MDD) patients by assessing the feasibility of their return to work after sick leave. When reinstatement was scheduled, patients' HRV was measured using a wearable electrocardiogram device. The outcome of the reinstatement was evaluated at one month after returning to work. HRV indices including high- and low-frequency components were calculated in three conditions within a session: initial rest, mental task, and rest after task. A linear discriminant function was made using the HRV indices of 30 MDD patients from our previous study to effectively discriminate the successful reinstatement from the unsuccessful reinstatement; this was then tested on 52 patients who participated in the present study. The discriminant function showed that the sensitivity and specificity in discriminating successful from unsuccessful returns were 95.8% and 35.7%, respectively. Sensitivity is high, indicating that normal HRV is required for a successful return, and that the discriminant analysis of HRV indices is useful for return-to-work screening in MDD patients. On the other hand, specificity is low, suggesting that other factors may also affect the outcome of reinstatement.
Scientific journal, English - Non-contact Heartbeat Detection by using CW-Doppler Radar under Respiratory Artifact.
Yuki Iwata; Koichiro Ishibashi; Guanghao Sun
The 2nd ASEAN - UEC Workshop on Energy and AI, -, 2020
International conference proceedings, English - Development Of Infection Diseases Screening System By Collaboration Between Vietnam And Japan.
Koichiro Ishibashi; Guanghao Sun; Nguyen Vu Trung; Le Thi Hoi; Nugyen Van Kinh; Do Trong Tuan; Han Trong Thanh; Nguyen Linh Trung; Luu Manh Ha; Pham Thanh Hiep; Takemi Matsui
The VANJ Conference, -, -, 2020
International conference proceedings, English - Contactless Heartbeat Detection from CW-Doppler Radar using Windowed-Singular Spectrum Analysis
Yuki Iwata; Koichiro Ishibashi; Guanghao Sun; Manh Ha Luu; Thanh Han Trong; Nguyen Linh-Trung; Tuan Do Trong
The 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, ---, 2020, Peer-reviwed
International conference proceedings, English - A Non-contact Spirometer with Time-of-Flight Sensor for Assessment of Pulmonary Function
Hirokazu Sakamoto; Guanghao Sun; Hiroki Takamoto; Takemi Matsui; Tetsuo Kirimoto
The 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, ---, 2020, Peer-reviwed
International conference proceedings, English - Usefulness of heart rate variability indices in assessing the risk of an unsuccessful return to work after sick leave in depressed patients
Shinba Toshikazu; Murotsu Keizo; Usui, Yosuke; Andow Yoshinori; Terada Hiroshi; Takahashi Mami; Takii Rie; Urita Michiko; Sakuragawa Satoshi; Mochizuki Miwa; Kariya Nobutoshi; Matsuda Saori; Obara Yusuke; Matsuda Hanae; Tatebayashi Yoshitaka; Matsuda Yoshiki; Mugishima Go; Nedachi Takaki; Guanghao Sun; Tomoko Inoue; Takemi Matsui
Neuropsychopharmacology Reports, Wiley, in press, 3, 239-245, 2020, Peer-reviwed
Scientific journal, English - Machine Learning Algorithms for Dengue Fever Patient Classification
Han Trong Thanh; Pham Huong Yen; Koichiro Ishibashi; Guanghao Sun; Tuan Do Trong
IEEE Eighth International Conference on Communications and Electronics (ICCE), -, -, 2020, Peer-reviwed
International conference proceedings, English - Development and Clinical Application of a Novel Non-contact Early Airflow Limitation Screening System using an Infrared Time-of-flight Depth Image Sensor
Hiroki Takamoto; Hiroki Nishine; Shohei Sato; Guanghao Sun; Sadao Watanabe; Kim Seokjin; Masahito Asai; Masamichi Mineshita; Takemi Matsui
Frontiers in Physiology, section Respiratory Physiology, Frontiers Media SA, 11:552942, 2020, Peer-reviwed
Scientific journal, English - Demonstration of a Noncontact Infection Screening System Based on RGB-Thermal-Imaging Processing for Detection of Patients with Suspected Infectious Disease
Hirokazu Sakamoto; Tomoya Matsushima; Keisuke Edanami; Maho Nishikawa; Guanghao Sun
IEEE 9th Global Conference on Consumer Electronics (GCCE), -, 2020, Peer-reviwed
International conference proceedings, English - Non-contact monitoring of heart rate variability using medical radar for the evaluation of dynamic changes in autonomic nervous activity during a head-up tilt test
Guanghao Sun; Yosuke Tanaka; Ken Kiyono; Kenichi Hashimoto; Bonpei Takase; He Liu; Tetsuo Kirimoto; Takemi Matsui
Journal of Medical Engineering and Technology, 43, 7, 411-417, 03 Oct. 2019, Peer-reviwed, © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Electrocardiography (ECG) is a mandatory standard for monitoring electrical activity of the heart in many clinical settings such as intensive care and emergency units. However, in situations wherein the skin is damaged, such as acute burn injuries, it is impossible to efficiently attach electrodes to the skin. In this study, we developed a non-contact cardiac monitoring system using a 24-GHz medical radar for directly measuring the beat-to-beat heart mechanical activity at a distance from a subject. The heart rate variability (HRV) was analysed using an autoregressive model (AR) from the measured beat-to-beat intervals during a head-up tilt test. To investigate the feasibility of the proposed system, we compared medical radar and ECG recording by using Lin’s correlation coefficient and Bland–Altman analysis, which showed a negligible mean difference from the substantial agreement of Lin’s correlation coefficient of 0.9 between the radar and ECG. The non-contact radar clearly monitored dynamic changes in HRV indices induced by the head-up tilt test. This type of non-contact HRV-sensing technique as an alternative approach has significant potential for advancing personal healthcare in both clinical and out-of-hospital settings.
Scientific journal, English - Sensor fusion technology for non-contact measurement of vital signs and its medical applications. (Invited Talk)
Guanghao Sun
The 5th GHD International Symposium, -, -, 2019
International conference proceedings, English - Random tree algorithm-based pediatric pneumonia screening using heart rate, respiration rate and temperature
Sumiyakhand Dagdanpurev; Udval Tsogzolmaa; Guanghao Sun; Lodoiravsal Choimaa; Yukiya Hakozaki; Khishigmaa Baatar; Takemi Matsui
Journal of Biomedical Research and Clinical Investigation, 1, 1, -, 2019, Peer-reviwed
Scientific journal, English - Dengue Fever Screening Using Vital Signs by Contactless Microwave Radar and Machine Learning.
Xiaofeng Yang; Koki Kumagai; Guanghao Sun; Koichiro Ishibashi; Le Thi Hoi; Nguyen Vu Trung; Nguyen Van Kinh
2019 IEEE Sensors Applications Symposium, -, 2019, Peer-reviwed
International conference proceedings, English - Development of a Mental Disorder Screening System Using Support Vector Machine for Classification of Heart Rate Variability Measured from Single-lead Electrocardiography.
Mai Kobayashi; Guanghao Sun; Tetsuo Kirimoto; Toshikazu Shinba; Takemi Matsui
2019 IEEE Sensors Applications Symposium, -, 2019, Peer-reviwed
International conference proceedings, English - Infection Screening System Using Thermography and CCD Camera with Good Stability and Swiftness for Non-contact Vital-Signs Measurement by Feature Matching and MUSIC Algorithm.
Toshiaki Negishi; Guanghao Sun; Shohei Sato; He Liu; Takemi Matsui; Shigeto Abe; Hidekazu Nishimura; Tetsuo Kirimoto
The 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, -, 2019, Peer-reviwed
International conference proceedings, English - Continuous and Non-Contact Blood Pressure Measurement Scheme Using Doppler Radar.
Tomoyuki Ohata; Koichiro Ishibashi; Guanghao Sun
The 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, 2019, Peer-reviwed
International conference proceedings, English - Precise Heart Rate Measurement Using Non-contact Doppler Radar Assisted by Machine-Learning-Based Sleep Posture Estimation
Kotaro Higashi; Guanghao Sun; Koichiro Ishibashi
The 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, 2019, Peer-reviwed
International conference proceedings, English - Development of a low-cost, portable, pediatric infection screening system using simultaneous measurement of multiple vital signs.
Sumiyakhand Dagdanpurev; Udval Tsogzolmaa; Guanghao Sun; Lodoiravsal Choimaa; Shigeto Abe; Takemi Matsui
The 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), -, 2019, Peer-reviwed
International conference proceedings, English - Millimeter-Wave Cost-Effective Phased-Array Radar with Orthogonally Located Tx and Rx Arrays
Tomoyuki Tanaka; Ryo Yokota; Tetsuo Kirimoto; Mitsuru Hiraki; Hideyuki Nagaishi; Nobuyuki Morikoshi; Shinichi Uchida; Takafumi Kuramoto; Takahiro Nakamura; Yoshiyuki Ota; Yuji Motoda; Tomonori Yanagita; Satoshi Suzuki; Guanghao Sun
IEEE MTT International Microwave Symposium (IMS), -, -, 2019, Peer-reviwed
International conference proceedings, English - A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary validation
Nguyen, C.V.; Le Quang, T.; Vu, T.N.; Le Thi, H.; Van, K.N.; Trong, T.H.; Trong, T.D.; Sun, G.; Ishibashi, K.
Informatics in Medicine Unlocked, 16, 100225, 1-9, 2019, Peer-reviwed
Scientific journal, English - Development of Remote Infection Screening System Using RGB Camera and Thermography.
Toshiaki Negishi; Guanghao Sun; Tetsuo Kirimoto
The 1st ECTI UEC Workshop on AI and Application, -, 2019, Peer-reviwed
International conference proceedings, English - Multiple Sensor Fusion Technology for Non-contact Measurement of Vital Signs and its Clinical Applications. (Invited Talk)
Guanghao Sun
The 1st ECTI UEC Workshop on AI and Application, -, 2019
International conference proceedings, English - Development of a hospitalized-patient monitoring system using medical radar for continuously and remotely monitors of respiratory rate
Guanghao Sun; Masakazu Okada; Yukiya Hakozaki; Tomoya Matsushima; Tetsuo Kirimoto; Takemi Matsui
The 17th International Conference on Biomedical Engineering, -, 2019, Peer-reviwed
International conference proceedings, English - Vital Signs Detection using CW-Doppler Radar under Body Movement Based on PCA Algorithm.
Yuki Iwata; Koichiro Ishibashi; Guanghao Sun
The 17th International Conference on Biomedical Engineering, -, 2019, Peer-reviwed
International conference proceedings, English - Non-contact radar screening system in patients with chronic obstructive pulmonary disease.
Hiroki Nishine; Hiroki Takamoto; Guanghao Sun; Shohei Sato; Takeo Inoue; Takemi Matsui; Masamichi Mineshita
European Respiratory Society International Congress, -, 2019, Peer-reviwed
International conference proceedings, English - Development and clinical application of a novel autonomic transient response-based screening system for major depressive disorder using a fingertip photoplethysmographic sensor
Sumiyakhand Dagdanpurev; Guanghao Sun; Toshikazu Shinba; Mai Kobayashi; Nobutoshi Kariya; Lodoiravsal Choimaa; Suvdaa Batsuuri; Seokjin Kim; Satoshi Suzuki; Takemi Matsui
Frontiers in Bioengineering and Biotechnology, Frontiers Media S.A., 6, MAY, 22 May 2018, Peer-reviwed, Over 350 million people across the world suffer from major depressive disorder (MDD). More than 10% of MDD patients have suicide intent, while it has been reported that more than 40% patients did not consult their doctors for MDD. In order to increase consultation rate of potential MDD patients, we developed a novel MDD screening system which can be used at home without help of health-care professionals. Using a fingertip photoplethysmograph (PPG) sensor as a substitute of electrocardiograph (ECG), the system discriminates MDD patients from healthy subjects using autonomic nerve transient responses induced by a mental task (random number generation) via logistic regression analysis. The nine logistic regression variables are averages of heart rate (HR), high frequency (HF) component of heart rate variability (HRV), and the low frequency (LF)/HF ratio of HRV before, during, and after the mental task. We conducted a clinical test of the proposed system. Participants were 6 MDD patients (4 females and 2 males, aged 23-60 years) from Shizuoka Saiseikai General Hospital psychiatry outpatient unit and 14 healthy volunteers from University of Electro-Communications (6 females and 8 males, aged 21-63 years). The average PPG- and ECG (as a reference)-derived HR, HF and LF/HF were significantly correlated with each other (HR
r = 1.00, p <
0.0001, HF
r = 0.98, p <
0.0001, LF/HF
r = 0.98, p <
0.0001). Leave-one-out cross validation (LOOCV) revealed 83% sensitivity and 93% specificity. The proposed system appears promising for future MDD self-screening at home and are expected to encourage psychiatric visits for potential MDD patients.
Scientific journal, English - The development of a novel high-precision major depressive disorder screening system using transient autonomic responses induced by dual mental tasks
Takemi Matsui; Toshikazu Shinba; Guanghao Sun
Journal of Medical Engineering and Technology, Taylor and Francis Ltd, 42, 2, 121-127, 17 Feb. 2018, Peer-reviwed, 12.6% of major depressive disorder (MDD) patients have suicide intent, while it has been reported that 43% of patients did not consult their doctors for MDD, automated MDD screening is eagerly anticipated. Recently, in order to achieve automated screening of MDD, biomarkers such as multiplex DNA methylation profiles or physiological method using near infra-red spectroscopy (NIRS) have been studied, however, they require inspection using 96-well DNA ELIZA kit after blood sampling or significant cost. Using a single-lead electrocardiography (ECG), we developed a high-precision MDD screening system using transient autonomic responses induced by dual mental tasks. We developed a novel high precision MDD screening system which is composed of a single-lead ECG monitor, analogue to digital (AD) converter and a personal computer with measurement and analysis program written by LabView programming language. The system discriminates MDD patients from normal subjects using heat rate variability (HRV)-derived transient autonomic responses induced by dual mental tasks, i.e. verbal fluency task and random number generation task, via linear discriminant analysis (LDA) adopting HRV-related predictor variables (hear rate (HR), high frequency (HF), low frequency (LF)/HF). The proposed system was tested for 12 MDD patients (32 ± 15 years) under antidepressant treatment from Shizuoka Saiseikai General Hospital outpatient unit and 30 normal volunteers (37 ± 17 years) from Tokyo Metropolitan University. The proposed system achieved 100% sensitivity and 100% specificity in classifying 42 examinees into 12 MDD patients and 30 normal subjects. The proposed system appears promising for future HRV-based high-precision and low-cost screening of MDDs using only single-lead ECG.
Scientific journal, English - 非接触バイタル計測マイクロ波センサーでチルトテーブルテスト中の心拍変動を解析し得た神経調節性失神
高瀬凡平; 橋本賢一; 眞崎暢之; 孫光鎬; 松井岳巳
Therapeutic Research, 39, 5, 393-396, 2018, Peer-reviwed
Scientific journal, Japanese - Vital-SCOPE: Design and Evaluation of a Smart Vital Sign Monitor for Simultaneous Measurement of Pulse Rate, Respiratory Rate, and Body Temperature for Patient Monitoring
Guanghao Sun; Takemi Matsui; Yasuyuki Watai; Seokjin Kim; Tetsuo Kirimoto; Satoshi Suzuki; Yukiya Hakozaki
Journal of Sensors, Hindawi Limited, 2018, 2018, Peer-reviwed, Consistent vital sign monitoring is critically important for early detection of clinical deterioration of patients in hospital settings. Mostly, nurses routinely measure and document the primary vital signs of all patients 2-3 times daily to assess their condition. To reduce nurse workload and thereby improve quality of patient care, a smart vital sign monitor named "Vital-SCOPE" for simultaneous measurement of vital signs was developed. Vital-SCOPE consists of multiple sensors, including a reflective photo sensor, thermopile, and medical radar, to be used in simultaneous pulse rate, respiratory rate, and body temperature monitoring within 10 s. It was tested in laboratory and hospital settings. Bland-Altman and Pearson's correlation analyses were used to compare the Vital-SCOPE results to those of reference measurements. The mean difference of the respiratory rate between respiratory effort belt and Vital-SCOPE was 0.47 breaths per minute with the 95% limit of agreement ranging from -7.4 to 6.5 breaths per minute. The Pearson's correlation coefficient was 0.63 (P<
0.05). Moreover, the mean difference of the pulse rate between electrocardiogram and Vital-SCOPE was 3.4 beats per minute with the 95% limit of agreement ranging from -13 to 5.8 beats per minute
the Pearson's correlation coefficient was 0.91 (P<
0.01), indicating strong linear relationship.
Scientific journal, English - Clinical Application of Multiple Vital Signs-Based Infection Screening System in a Mongolian Hospital: Optimization of Facial Temperature Measurement by Thermography at Various Ambient Temperature Conditions Using Linear Regression Analysis.
Sumiyakhand Dagdanpurev; Guanghao Sun; Lodoiravsal Choimaa; Shigeto Abe; Takemi Matsui
The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, -, 2018, Peer-reviwed
International conference proceedings, English - Stable Contactless Sensing of Vital Signs Using RGB-Thermal Image Fusion System with Facial Tracking for Infection Screening.
Toshiaki Negishi; Guanghao Sun; He Liu; Shohei Sato; Takemi Matsui; Tetsuo Kirimoto
The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, -, 2018, Peer-reviwed
International conference proceedings, English - Dengue Fever Detecting System Using Peak-Detection of Data from Contactless Doppler Radar.
Xiaofeng Yang; Koichiro Ishibashia; Le Hoi; Trung Nguyen Vu; Kinh Nguyen Van; Guanghao Sun
The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, -, 2018, Peer-reviwed
International conference proceedings, English - Continuous Cuffless Systolic Blood Pressure Monitoring Scheme Using PPG Sensor and Doppler Radar
Tomoyuki Ohata; Koichiro Ishibashi; Guanghao Sun
The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Japanese Society for Medical and Biological Engineering, -, Abstract, S92-S92, 2018, Peer-reviwed, In this study, we studied the method of estimating continuous blood pressure only in one part of the body using PPG or non-contact Doppler radar. We performed regression analysis considering relationship between time of one heartbeat cycle and systolic blood pressure. The time of one heartbeat cycle was acquired using PPG and Doppler radar. Since the obtained regression equation included individual differences, we obtained a regression equation that does not include individual differences by using the time of one heartbeat cycle and the systolic blood pressure at rest as individual parameters. Comparing the blood pressure estimated using this regression equation with the reference blood pressure, we obtained the correlation coefficient of 0.9, which was sufficiently high. The potential of non-contact blood pressure measurement using Doppler radar is also shown.
English - Development of a 79 GHz Millimeter-Wave Radar System for Remote Monitoring of Vital Sign
Guanghao Sun; Takahiro Nakamura; Satoshi Suzuki; Mai Kobayashi; Tetsuo Kirimoto
The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, -, 2018, Peer-reviwed
International conference proceedings, English - Dvelopment and clinical evaluation of a multiple vital-sign based infection screening system for rapid detection of dengue fever at the National Hospital of Tropical Diseases, Vietnam.
Guanghao Sun; Nguyen Vu Trung; Le Thi Hoi; Vu Thi Thu Huong; Nguyen Nguyen Huyen; Takemi Matsui; Hiroki Furukawa; Koichiro Ishibashi; Tetsuo Kirimoto; Nguyen Van Kinh
The 8th ASEAN Conference of Tropical Medicine and Parasitology, -, 2018, Peer-reviwed
International conference proceedings, English - A Time of Arrival Estimation Method Combining Matched Filter And IHT Compressed Sensing For Target Point Identification
Seiya Tamura; Guanghao Sun; Tetsuo Kirimoto
The International Conference on Space, Aeronautical and Navigational Electronics, -, 2018, Peer-reviwed
International conference proceedings, English - A Parametric Estimation Method for Detecting Aircraft Wake Turbulence Using a Single Doppler LIDAR
Rin Nakamura; Guanghao Sun; Tetsuo Kirimoto
The International Conference on Space, Aeronautical and Navigational Electronics, -, 2018, Peer-reviwed
International conference proceedings, English - Non-contact electrical assessment on cardiac autonomic activity in neurally mediated syncope
Bonpei Takase; Kenichi Hashimoto; Guanghao Sun; Takemi Matsui
Journal of Electrocardiology, 51, 6, 2018, Peer-reviwed
International conference proceedings, English - Vision-based HRV Measurement for HRI Study
Yuya Shibata; Keita Tsuji; Chu Kiong Loo; Guanghao Sun; Yoichi Yamazaki; Takuya Hashimoto
IEEE Symposium Series on Computational Intelligence, -, 2018, Peer-reviwed
International conference proceedings, English - Field evaluation of an infectious disease/fever screening radar system during the 2017 dengue fever outbreak in Hanoi, Vietnam: a preliminary report
Guanghao Sun; Nguyen Vu Trung; Takemi Matsui; Koichiro Ishibashi; Tetsuo Kirimoto; Hiroki Furukawa; Le Thi Hoi; Nguyen Nguyen Huyen; Quynh Nguyen; Shigeto Abe; Yukiya Hakozaki; Nguyen Van Kinh
JOURNAL OF INFECTION, W B SAUNDERS CO LTD, 75, 6, 593-595, Dec. 2017, Peer-reviwed
Scientific journal, English - Non-contact acquisition of respiration and heart rates using Doppler radar with time domain peak-detection algorithm
Xiaofeng Yang; Guanghao Sun; Koichiro Ishibashi
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., -, 2847-2850, 13 Sep. 2017, Peer-reviwed, The non-contact measurement of the respiration rate (RR) and heart rate (HR) using a Doppler radar has attracted more attention in the field of home healthcare monitoring, due to the extremely low burden on patients, unconsciousness and unconstraint. Most of the previous studies have performed the frequency-domain analysis of radar signals to detect the respiration and heartbeat frequency. However, these procedures required long period time (approximately 30 s) windows to obtain a high-resolution spectrum. In this study, we propose a time-domain peak detection algorithm for the fast acquisition of the RR and HR within a breathing cycle (approximately 5 s), including inhalation and exhalation. Signal pre-processing using an analog band-pass filter (BPF) that extracts respiration and heartbeat signals was performed. Thereafter, the HR and RR were calculated using a peak position detection method, which was carried out via LABVIEW. To evaluate the measurement accuracy, we measured the HR and RR of seven subjects in the laboratory. As a reference of HR and RR, the persons wore contact sensors i.e., an electrocardiograph (ECG) and a respiration band. The time domain peak-detection algorithm, based on the Doppler radar, exhibited a significant correlation coefficient of HR of 0.92 and a correlation coefficient of RR of 0.99, between the ECG and respiration band, respectively.
International conference proceedings, English - Simple and objective screening of major depressive disorder by heart rate variability analysis during paced respiration and mental task conditions
Mai Kobayashi; Guanghao Sun; Toshikazu Shinba; Takemi Matsui; Tetsuo Kirimoto
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., -, 1316-1319, 13 Sep. 2017, Peer-reviwed, Since objective biomarkers for major depressive disorder (MDD) are not readily available, clinical psychiatrists diagnose patients with MDD subjectively based on clinical interviews and diagnostic criteria. It often raises various concerns, including false responses by patients, subjective factors, and inexperience of the attendants leading to incorrect diagnosis. Here, we developed a self-monitoring system for simple and objective screening of MDD using a photoplethysmography (PPG) sensor and a 24-GHz microwave radar, which was based on the analysis of heart rate variability (HRV) during paced respiration and mental task conditions. In our previous study, we assessed the reactivity of HRV measurements during a mental task (random number generation) condition in patients with MDD and healthy control subjects. The HRV indices are less reactive in patients with MDD compared to healthy subjects during the mental task, which enabled us to identify the patients at risk for depression. In this study, the reactivity of HRV was measured not only in the mental task but also during paced respiration (i.e., 5-s inhalation and 5-s exhalation) conditions, thereby assessing more detailed autonomic nervous system (ANS) activity via HRV indices. To investigate the effect of paced respiration on MDD screening, we compared the ANS activity via HRV indices in with/without paced respiration conditions in 28 drug-naïve patients with MDD and 27 healthy control subjects. The result showed that ANS significantly activated during the paced respiration condition (p<
0.05). The sensitivity in detecting patients with MDD was 86% under paced respiration and mental task conditions, which was higher than the sensitivity (68%) under mental task condition alone.
International conference proceedings, English - Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases
Guanghao Sun; Yosuke Nakayama; Sumiyakhand Dagdanpurev; Shigeto Abe; Hidekazu Nishimura; Tetsuo Kirimoto; Takemi Matsui
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, ELSEVIER SCI LTD, 55, 113-117, Feb. 2017, Peer-reviwed, Background: Infrared thermography (IRT) is used to screen febrile passengers at international airports, but it suffers from low sensitivity. This study explored the application of a combined visible and thermal image processing approach that uses a CMOS camera equipped with IRT to remotely sense multiple vital signs and screen patients with suspected infectious diseases.
Methods: An IRT system that produced visible and thermal images was used for image acquisition. The subjects' respiration rates were measured by monitoring temperature changes around the nasal areas on thermal images; facial skin temperatures were measured simultaneously. Facial blood circulation causes tiny color changes in visible facial images that enable the determination of the heart rate. A logistic regression discriminant function predicted the likelihood of infection within 10 s, based on the measured vital signs. Sixteen patients with an influenza-like illness and 22 control subjects participated in a clinical test at a clinic in Fukushima, Japan.
Results: The vital-sign-based IRT screening system had a sensitivity of 87.5% and a negative predictive value of 91.7%; these values are higher than those of conventional fever-based screening approaches.
Conclusions: Multiple vital-sign-based screening efficiently detected patients with suspected infectious diseases. It offers a promising alternative to conventional fever-based screening. (C) 2017 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
Scientific journal, English - Development of a Depression Screening System Using Heart Rate Variability and Cerebral Blood Flow ∼ An Algorithm Based on Multiple Mental Load Tasks ∼
Kumazawa Ryota; Maeda Takato; Shinba Toshikazu; Sun Guanghao; Hashizume Ayako; Matsui Takemi
Transactions of Japanese Society for Medical and Biological Engineering, Japanese Society for Medical and Biological Engineering, 55, 4, 354-354, 2017,In order to achieve an objective major depressive disorder (MDD) screening, we developed an MDD screening system via linear discriminant analysis (LDA). Using transient responses induced by multiple mental tasks that random number generation (RNG) task and verbal fluency (VF) task, the system discriminates MDD patients from normal subjects using heart rate variability (HRV) indices and cerebral blood flow determined by near-infrared spectroscopy (NIRS). The screening was conducted on twelve MDD patients (32±15 years) and 30 control subjects (37±17 years). The mental work load procedures are composed of "Pre-task rest", "Undergoing task", and "After-work rest" sections. When we adopted only RNG task, the system indicated 83.3% sensitivity and 93.8% specificity and with only VF task, the sensitivity and specificity were 75% and 90%, respectively. However using multiple tasks, we were able to obtain 100% sensitivity and 100% specificity with our proposed system.
Japanese - Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography for rapid screening of patients with influenza
Dagdanpurev Sumiyakhand; Guanghao Sun; Shigeto Abe; Takemi Matsui
Transactions of Japanese Society for Medical and Biological Engineering, Japanese Society for Medical and Biological Engineering, 55, 3, 162-162, 2017,After an outbreak of severe acute respiratory syndrome (SARS) in 2003, infrared thermography (IRT) systems were used as the border control strategies for fever screening of passengers at most major international airports. In this study, we proposed a visible/thermal image processing approach using only a CMOS camera-equipped IRT, thereby remote sensing of multiple vital signs for the rapid and accurate screening. Due to infection screening system expensive and required large-scale system structure, the system still has not reached yet the stage of widespread use. In this regard, we focused on minimum the hardware requirements to achieve a system that more suitable for real-world settings. The system displays the results via the logistic regression discriminant function derived from the heart and respiration rate, and body temperature within 10 seconds. The system achieved a sensitivity and specificity of 87.5% and 91.7%, which is notably higher compared to conventional fever based screening.
Japanese - Online State Space Filtering of Biosignals using Neural Network-Augmented Kalman Filter
Guanghao Sun
11TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON), -, 2017, Peer-reviwed
Scientific journal, English - Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot.
Wenwei Yu; Keigo Nakahata; Guang Hao Sun; Akio Namiki; Sayuri Suwa; Mayuko Tsujimura; Le Xie; Jinwu Wang; Shao Ying Huang
Journal of healthcare engineering, 2017, 6952695-6952695, 2017, Peer-reviwed, True, Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding objects and occlusions by furniture. The problem could be more serious for a home behavior-monitoring system, which aims to accurately recognize the activity of a target person, in spite of these uncertainties. It detects irregularities and categorizes situations requiring further explorations, which strategically maximize the information needed for activity recognition while minimizing the costs. Two schemes of active sensing, based on two irregularity detections, namely, heuristic-based and template-matching-based irregularity detections, were implemented and examined for body contour-based activity recognition. Their time cost and accuracy in activity recognition were evaluated through experiments in both a controlled scenario and a home living scenario. Experiment results showed that the categorized further explorations guided the robot system to sense the target person actively. As a result, with the proposed approach, the robot system has achieved higher accuracy of activity recognition.
Scientific journal, English - An optical and thermal image fusion approach using estimated homography matrix for noncontact vital-sign measurements and its application to infectious disease screening system.
Toshiaki Negishi; Guanghao Sun; Tetsuo Kirimoto
The 4th Annual Meeting of the Society for Bioacoustics, -, 2017
International conference proceedings, English - Estimation of Autonomic Nervous Activity toward Affective Human-Robot Interaction
Takuya Hashimoto; Keita Tsuji; Yoichi Yamazaki; Guanghao Sun
The 2017 IEEE Symposium Series on Computational Intelligence, -, 2017, Peer-reviwed
International conference proceedings, English - A Neural Network Augmented Parametric Estimation Method for Accurate Wind Vector Reconstruction Using Single Doppler LIDAR.
Taro Matsuo; Guanghao Sun; Tetsuo Kirimoto
International Conference on Space, Aeronautical and Navigational Electronics, -, 2017, Peer-reviwed
International conference proceedings, English - Short time and contactless virus infection screening system with discriminate function using doppler radar
Xiaofeng Yang; Koichiro Ishibashi; Toshiaki Negishi; Tetsuo Kirimoto; Guanghao Sun
Communications in Computer and Information Science, Springer Verlag, 791, 263-273, 2017, Peer-reviwed, Recently, infectious diseases, such as Ebola fever and Middle East respiratory syndrome, have spread worldwide. To conduct a highly accurate infection screening, our group is working on the development of a non-contact and hand-held infection screening system that can detect infected individuals within 5s. In this study, we propose a signal processing method to improve the measurement accuracy of the infection screening system. Body surface temperature, heartbeat, and respiration rates are detected by thermography and microwave radars. To evaluate the measurement accuracy, nine subjects (normal and pseudo-infection conditions) were tested with the proposed system in a laboratory. In this study, a linear discriminate function was used to detect pseudo-infection conditions. The detection accuracy was improved to 88.9%.
International conference proceedings, English - Development of an EMG-based human-machine interface on open-source linux platform for evaluating the motor skill acquisition process
Guanghao Sun; Wenwei Yu
IFMBE Proceedings, Springer Verlag, 61, -, 38-42, 2017, Peer-reviwed, Human-machine interface (HMI) not only assists disabled people to perform tasks and activities, but also helps in acquisition of motor skills for rehabilitation. Therefore, it is critically important to qualitatively assess the motor skill acquisition process during the operation of HMI. Some of the recent studies observed and analyzed that changes in bio-signals were closely related to the improvement of motor skill. This paper presents a HMI for balancing the control of virtual inverted pendulum using electromyography (EMG) signals. The proposed HMI was developed using an open-source control software RTAI (Real Time Application Interface) on Linux platform. EMG signals from the forearm were recorded using two EMG electrodes placed around the extensor carpi radialis longus and flexor carpi ulnaris muscles. Moreover, the motor skills were evaluated by classifying the EMG signal patterns (i.e., muscle activation patterns), and measuring the motion of inverted pendulum including angular position, speed, and acceleration. An experiment was conducted using the proposed HMI with 8 subjects in laboratory. The results showed that the proposed HMI is useful to examine the motor skill acquisition process, as the EMG signal patterns closely resembled to that of human motor process.
International conference proceedings, English - An Objective Screening Method for Major Depressive Disorder Using Logistic Regression Analysis of Heart Rate Variability Data Obtained in a Mental Task Paradigm
Guanghao Sun; Toshikazu Shinba; Tetsuo Kirimoto; Takemi Matsui
FRONTIERS IN PSYCHIATRY, FRONTIERS MEDIA SA, 7, Nov. 2016, Peer-reviwed, Background and objectives: Heart rate variability (HRV) has been intensively studied as a promising biological marker of major depressive disorder (MDD). Our previous study confirmed that autonomic activity and reactivity in depression revealed by HRV during rest and mental task (MT) conditions can be used as diagnostic measures and in clinical evaluation. In this study, logistic regression analysis (LRA) was utilized for the classification and prediction of MDD based on HRV data obtained in an MT paradigm.
Methods: Power spectral analysis of HRV on R-R intervals before, during, and after an MT (random number generation) was performed in 44 drug-naive patients with MDD and 47 healthy control subjects at Department of Psychiatry in Shizuoka Saiseikai General Hospital. Logit scores of LRA determined by HRV indices and heart rates discriminated patients with MDD from healthy subjects. The high frequency (HF) component of HRV and the ratio of the low frequency (LF) component to the HF component (LF/HF) correspond to parasympathetic and sympathovagal balance, respectively.
Results: The LRA achieved a sensitivity and specificity of 80.0 and 79.0%, respectively, at an optimum cutoff logit score (0.28). Misclassifications occurred only when the logit score was close to the cutoff score. Logit scores also correlated significantly with subjective self-rating depression scale scores (p < 0.05).
Conclusion: HRV indices recorded during a MT may be an objective tool for screening patients with MDD in psychiatric practice. The proposed method appears promising for not only objective and rapid MDD screening but also evaluation of its severity.
Scientific journal, English - Multiple Vital-Sign-Based Infection Screening Outperforms Thermography Independent of the Classification Algorithm
Yu Yao; Guanghao Sun; Takemi Matsui; Yukiya Hakozaki; Stefan van Waasen; Michael Schiek
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 63, 5, 1025-1033, May 2016, Peer-reviwed, Goal: Thermography-based infection screening at international airports plays an important role in the prevention of pandemics. However, studies show that thermography suffers from low sensitivity and specificity. To achieve higher screening accuracy, we developed a screening system based on the acquisition of multiple vital-signs. This multimodal approach increases accuracy, but introduces the need for sophisticated classification methods. This paper presents a comprehensive analysis of the multimodal approach to infection screening from a machine learning perspective. Methods: We conduct an empirical study applying six classification algorithms to measurements from the multimodal screening system and comparing their performance among each other, as well as to the performance of thermography. In addition, we provide an information theoretic view on the use of multiple vital-signs for infection screening. The classification methods are tested using the same clinical data, which has been analyzed in our previous study using linear discriminant analysis. A total of 92 subjects were recruited for influenza screening using the system, consisting of 57 inpatients diagnosed to have seasonal influenza and 35 healthy controls. Results: Our study revealed that the multimodal screening system reduces the misclassification rate by more than 50% compared to thermography. At the same time, none of the multimodal classifiers needed more than 6 ms for classification, which is negligible for practical purposes. Conclusion: Among the tested classifiers k-nearest neighbors, support vector machine and quadratic discriminant analysis achieved the highest cross-validated sensitivity score of 93%. Significance: Multimodal infection screening might be able to address the shortcomings of thermography.
Scientific journal, English - Acceleration for Wind Velocity Vector Estimation by Neural Network for Single Doppler LIDAR
Taro Matsuo; Guanghao Sun; Shouhei Kidera; Tetsuo Kirimoto; Hiroshi Sakamaki; Teruyuki Hara
2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, -, 444-445, 2016, Peer-reviwed, Doppler Light-Detection-And-Ranging (LIDAR) system is an essential tool for real-time wind monitoring for aircraft taking off and landing. Single LIDAR model is preferable in terms of cost and being free from synchronization problem of multiple LIDARs. There are many studies for single LIDAR based velocity estimation. In specifying the recognition for typical air turbulences, such as tornado, microburst or gust front, the parametric approach has been introduced in our previous research. However, this method suffers from a large computational time due to solving multiple dimensional and non-linear optimization problem by particle swarm optimization (PSO). Aiming at real-time monitoring, this paper introduces neural network based optimization approach to determine the turbulence model. The results from numerical simulation demonstrate that the proposed method considerably reduces the calculation cost without sacrificing an estimation accuracy, compared with that obtained by the former PSO based method.
International conference proceedings, English - An Experimental Study on the Effectiveness of Hierarchical-Bayesian Compressed Sensing for High-Accuracy and Robust TOA Estimation
Akira MORO; Guanghao SUN; Tetsuo KIRIMOTO
International Conference on Space, Aeronautical and Navigational Electronics 2016, -, -, 2016, Peer-reviwed
International conference proceedings, English - Experimental Verification of a Layover Distortion Compensation Method for CSAR Image Based on Height Estimation
Taichi NAKAMURA; Guanghao SUN; Tetsuo KIRIMOTO
International Conference on Space, Aeronautical and Navigational Electronics 2016, -, -, 2016, Peer-reviwed
International conference proceedings, English - A Comparative Study between Piezoelectric Pressure Sensor and Doppler Radar for Noncontact Monitoring of Respiration Rate.
Guanghao Sun; Yu Yao; Sumiyakhand; Dagdanpurev; Satoshi Suzuki; Takemi Matsui; Tetsuo Kirimoto
The 16th International Conference on Biomedical Engineering, -, -, ---, 2016
International conference proceedings, Japanese - The rapid screening of patients with suspected infection in Mongolia using infection screening system with a compact radar, a thermopile array and a pulse photo-sensor.
Takemi Matsui; Guanghao Sun; Bazarragchaa Ts; Sumiyakhand D; Yukiya Hakozaki; Lodoiravsal Ch; Buyanjargal Ya; Odmaa E; Myagmarjav Z; Suvdmaa N; Batsukh B
International Scientific Conference on Tackling Infectious Diseases: Information for Action, -, -, 2016, Peer-reviwed
International conference proceedings, English - Evaluation of a Home Biomonitoring Autonomous Mobile Robot
Enrique Dorronzoro Zubiete; Keigo Nakahata; Nevrez Imamoglu; Masashi Sekine; Guanghao Sun; Isabel Gomez; Wenwei Yu
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, HINDAWI PUBLISHING CORP, Article ID 9845816, 2016, Peer-reviwed, Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed. However, the system has not been tested in any home living scenarios. In this study we did a series of experiments to investigate the accuracy of activity recognition of the mobile robot in a home living scenario. The daily activities tested in the evaluation experiment include watching TV and sleeping. A dataset recorded by a distributed distance-measuring sensor network was used as a reference to the activity recognition results. It was shown that the accuracy is not consistent for all the activities; that is, mobile robot could achieve a high success rate in some activities but a poor success rate in others. It was found that the observation position of the mobile robot and subject surroundings have high impact on the accuracy of the activity recognition, due to the variability of the home living daily activities and their transitional process. The possibility of improvement of recognition accuracy has been shown too.
Scientific journal, English - Clinical evaluation of the newly developed infectious disease/fever screening radar system using the neural network and fuzzy grouping method for travellers with suspected infectious diseases at Narita International Airport Clinic
Guanghao Sun; Masahiko Akanuma; Takemi Matsui
JOURNAL OF INFECTION, W B SAUNDERS CO LTD, 72, 1, 121-123, Jan. 2016, Peer-reviwed
Scientific journal, English - A compact and hand-held infection-screening system for use in rapid medical inspection at airport quarantine stations: System design and preliminary validation
Guanghao Sun; Keisuke Miyata; Ayumu Matsuoka; Zijun Zhao; Sayuri Iwakami; Seokjin Kim; Takemi Matsui
Journal of Medical Engineering and Technology, Informa Healthcare, 39, 3, 185-190, 01 Apr. 2015, Peer-reviwed, To conduct mass screening and thereby reduce the spread of infection, a compact (13.5 cm x 8.5 cm x 2.5 cm), highly-mobile and hand-held infection-screening system was developed for rapid medical inspection in mass gathering places such as airports. The system is capable of non-contact vital-sign monitoring using two integrated sensors: a 24-GHz microwave radar for measuring heart and respiration rates and a thermopile array for capturing facial temperature. Subsequently, the system detects infected individuals using a linear discriminant function (LDA) from the derived vital-signs data. The system was tested on 10 subjects under two conditions (resting as normal and exercising as pseudo-infected, i.e. a 10-min bicycle ergometer at 100 W exercise)
the normal and pseudo-infected conditions were classified successfully via LDA for all subjects (p<
0.01
classification error rate <
5%). The proposed non-contact system can be applied for preventing secondary exposure of medical doctors at the outbreak of highly pathogenic infectious diseases such as the Ebola virus.
Scientific journal, English - An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method
Guanghao Sun; Takemi Matsui; Yukiya Hakozaki; Shigeto Abe
JOURNAL OF INFECTION, W B SAUNDERS CO LTD, 70, 3, 230-236, Mar. 2015, Peer-reviwed, Objectives: To classify higher-risk influenza patients within 10 s, we developed an infectious disease and fever screening radar system.
Methods: The system screens infected patients based on vital signs, i.e., respiration rate measured by a radar, heart rate by a finger-tip photo-reflector, and facial temperature by a thermography. The system segregates subjects into higher-risk influenza (HR-I) group, lower-risk influenza (LR-I) group, and non-influenza (Non-I) group using a neural network and fuzzy clustering method (FCM). We conducted influenza screening for 35 seasonal influenza patients and 48 normal control subjects at the Japan Self-Defense Force Central Hospital. Pulse oximetry oxygen saturation (SpO(2)) was measured as a reference.
Results: The system classified 17 subjects into HR-I group, 26 into LR-I group, and 40 into Non-I group. Ten out of the 17 HR-I subjects indicated SpO(2) < 96%, whereas only two out of the 26 LR-I subjects showed SpO(2) < 96%. The chi-squared test revealed a significant difference in the ratio of subjects showed SpO(2) < 96% between HR-I and LR-I group (p < 0.001). There were zero and nine normal control subjects in HR-I and LR-I groups, respectively, and there was one influenza patient in Non-I group.
Conclusions: The combination of neural network and FCM achieved efficient detection of higher-risk influenza patients who indicated SpO(2) 96% within 10 s. (C) 2014 The British Infection Association. Published by Elsevier Ltd. All rights reserved.
Scientific journal, English - Rapid screening of influenza patients with severe clinical signs using an extensible neural-network-based infection screening system
SUN GUANGHAO; HAKOZAKI YUKIYA; ABE SHIGETO; MATSUI TAKEMI
Transactions of Japanese Society for Medical and Biological Engineering, Japanese Society for Medical and Biological Engineering, 53, Supplement, S174_01-S174_01, 2015, The outbreak of emerging infectious diseases frequently becomes severe are threatening people on global basis. To classify people into severe-influenza patients, mildly-influenza patients and healthy people at places of mass gathering, we developed an influenza screening system. The system conducts screening within 10 s from vital-signs, i.e., respiration rate, heart rate, and facial temperature. A neural network based discriminant function was implemented into the system to predict the infected individuals. We conducted influenza screening for 35 seasonal influenza patients at the Japan Self-defense Central Hospital. To assess the clustering performance of this system, SpO2 was measured as a reference. The system classified 34/35 influenza patients to be mildly or severe influenza. The 10/17 severe-influenza group indicated SpO2 less than 96%, while, only 2/17 mildly-influenza group showed SpO2 less than 96%. This result indicates that the system has the potential to serve as a helpful tool for rapid screening of influenza in clinical settings at places of mass gathering.
Japanese - Non-contact Measurement of Respiratory and Heart Rates Using a CMOS Camera-equipped Infrared Camera for Prompt Infection Screening at Airport Quarantine Stations
Yosuke Nakayama; Guanghao Sun; Shigeto Abe; Takemi Matsui
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS (CIVEMSA), IEEE, -, 27-30, 2015, Peer-reviwed, Severe acute respiratory syndrome (SARS) was first reported in 2003 and quickly spread around the world. Therefore, many international airport quarantine stations launched fever-based screening to detect infected passengers using infrared (IR) cameras for preventing global pandemics. However, a screening method based on fever alone can be insufficient for detecting infected individuals because many factors, such as antipyretics uptake, can affect it. Our previous studies using compact radar revealed that simultaneous measurement of facial skin temperature and respiratory and heart rates drastically improved the sensitivity of infection screening compared to that achieved by facial skin temperature measurement alone. Using a CMOS camera-equipped IR camera (CMOS-IR camera), which most Japanese International Airports have adopted, we developed an enhanced thermal/RGB image processing method for non-contact measurement of facial skin temperature, and respiratory and heart rates. We conducted the image processing on the thermal/RGB image-fusion mode in real time; we determined the respiratory rate by thermal images of the IR camera and the heart rate by the RGB images of the CMOS camera. Using a CMOS-IR camera, we measured respiratory and heart rates of ten healthy subjects (23 +/- 1 years), and compared them with those determined by a contact-type respiratory effort belt and electrocardiograms (ECGs) as references. The respiratory and heart rates obtained from the CMOS-IR camera exhibited strong positive correlations with those derived from the references, a respiratory effort belt: r = 0.99, p < 0.01; ECG: r = 0.96, p < 0.01, whereas the axillary temperature indicated a moderate degree of correlation to facial skin temperature (r = 0.6). Adopting this method into conventional CMOS-IR camera image processing at international airport quarantines will achieve higher infection screening sensitivity.
International conference proceedings, English - Development of a Wireless Physiological Computing Platform Using a National Instruments' myRIO Embedded Device
Guanghao Sun; Yasuyuki Watai; Takemi Matsui
2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), IEEE, in press, 127-128, 2015, Peer-reviwed, We designed a physiological computing platform, which is easy to configure and setup using National Instruments' myRIO embedded device. Physiological signal acquisition, processing, and visualization are required for the most basic sort of physiological computing platform. Therefore, the proposed platform consisted of these three basic modules. (1) Signal acquisition module: the physiological signals captured via the biosensors were sent wirelessly using the myRIO's analog input channels to a PC or mobile handheld devices such as, tablet or smartphone. (2) Signal processing module: the signal processing procedures were conducted using a graphical design software i.e., LabVIEW. (3) Visualization module: the signals and computing results were on the screen for the user. In this paper, we demonstrated the effectiveness of proposed platform on non-contact measurement of the heart and respiration rates using microwave radar.
International conference proceedings, English - Rapid and Stable Measurement of Respiratory Rate from Doppler Radar Signals Using Time Domain Autocorrelation Model
Guanghao Sun; Takemi Matsui
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), IEEE, in press, 5985-5988, 2015, Peer-reviwed, Noncontact measurement of respiratory rate using Doppler radar will play a vital role in future clinical practice. Doppler radar remotely monitors the tiny chest wall movements induced by respiration activity. The most competitive advantage of this technique is to allow users fully unconstrained with no biological electrode attachments. However, the Doppler radar, unlike other contact- type sensors, is easily affected by the random body movements. In this paper, we proposed a time domain autocorrelation model to process the radar signals for rapid and stable estimation of the respiratory rate. We tested the autocorrelation model on 8 subjects in laboratory, and compared the respiratory rates detected by noncontact radar with reference contact- type respiratory effort belt. Autocorrelation model showed the effects of reducing the random body movement noise added to Doppler radar's respiration signals. Moreover, the respiratory rate can be rapidly calculated from the first main peak in the autocorrelation waveform within 10 s.
International conference proceedings, English - The development of a new infection screening system which incorporates data processing unit and its clinical applications for seasonal influenza patients.
Ayumu Matsuoka; Guanghao Sun; Keisuke Miyata; Ayano Watanabe; Seokjin Kim; Yukiya Hakozaki; Takemi Matsui
Japanese Journal of Disaster Medicine, 日本集団災害医学会, 20, 1, 16-22, 2015, Peer-reviwed
Scientific journal, Japanese - Vital-CUBE: A Non-Contact Vital Sign Monitoring System Using Medical Radar for Ubiquitous Home Healthcare
Guanghao Sun; Shinji Gatoh; Zijun Zhao; Seokjin Kim; Satoshi Suzuki; Nevrez Imamoglu; Wenwei Yu; Takemi Matsui
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, AMER SCIENTIFIC PUBLISHERS, 4, 6, 863-867, Dec. 2014, Peer-reviwed, The aging population and the escalation of healthcare costs are leading concerns for many developed countries, such as Japan. The government has attempted to reduce hospital costs, which can easily be done by using home healthcare. In this study, we developed a non-contact vital sign monitoring system (Vital-CUBE) that uses microwave radar for ubiquitous home healthcare. Microwave radar can contactless monitor tiny movements on the surface of a human body induced by heartbeat and respiration. With the intent to design a system for home healthcare, we developed this system on an embedded Linux platform to create an inexpensive, self-contained, and modular design. Moreover, we connected the system to a smart phone using virtual network computing (VNC) technology, allowing users to immediately and conveniently access the results of measurements. To assess the performance of Vital-CUBE, we tested the system on 16 subjects (22 +/- 3 years old). We compared the heart and respiration rates determined by Vital-CUBE with those measured using contact-type electrocardiograms (ECG) and respiratory effort belts. The Vital-CUBE measurements exhibited a strong positive correlation with those of the reference contact-type sensors (ECG: r = 0.87, p < 0.01; respiratory effort belt: r = 0.91, p < 0.01). The system can be used without attaching biological electrodes to the users and allows fully unconstrained vital sign measurements for home healthcare.
Scientific journal, English - Development of a novel infection screening system using non-contact vital sign monitoring technology
Guanghao Sun; Ayumu Matsuoka; Keisuke Miyata; Nguyen Quang Vinh; Chris Chen; Akiko Ueda; Yukiya Hakozaki; Shigeto Abe; Seokjin Kim; Osamu Takei; Takemi Matsui
Transactions of Japanese Society for Medical and Biological Engineering, Japan Soc. of Med. Electronics and Biol. Engineering, 52, 470-O-471, 17 Aug. 2014, Peer-reviwed, The outbreak of infectious diseases are threatening global health. At mass gathering places, such as, airport quarantine facilities, public health centers, and hospital outpatients units, rapid and highly reliable screening methods of infection are urgently needed during the epidemic season for preventing the spread of infection. In order to meet this need, we developed a multiple vital-signs based infection screening system that can perform medical inspections within 10 seconds. This screening system monitors not only body temperature but also heart and respiration rates. By using these three vital-signs, the detection accuracy of the system improved significantly.
Scientific journal, Japanese - Fever screening of seasonal influenza patients using a cost-effective thermopile array with small pixels for close-range thermometry
Guanghao Sun; Tadafumi Saga; Takao Shimizu; Yukiya Hakozaki; Takemi Matsui
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, ELSEVIER SCI LTD, 25, 56-58, Aug. 2014, Peer-reviwed, Objective: Infrared thermography systems have been used for fever screening at many airports since the outbreak of severe acute respiratory syndrome (SARS) in 2003. However, many of these systems are expensive and non-portable. Therefore, we developed a cost-effective and compact (2.9 x 5.8 x 2.0 cm) thermopile array for fever screening of patients with infectious diseases in the clinical setting.
Methods: The array was created with small pixels (48 x 47 = 2256 pixels) fabricated on a silicon wafer using microelectromechanical systems technology. We tested this array on 155 febrile and afebrile patients (35.4 degrees C <= axillary temperature <= 39.3 degrees C) with seasonal influenza at the Japan Self-Defense Forces Central Hospital.
Results: The maximum facial temperature, measured by the array at 0.3 m from the subject, exhibited a positive correlation with axillary temperature measured using a contact-type thermometer (r = 0.71, p < 0.01). The sensitivity and specificity of the thermopile array in identifying the febrile subjects were 80.5% and 93.3%, respectively, setting the threshold cut-off of maximum facial temperature at an appropriate value.
Conclusions: Our cost-effective thermopile array appears promising for future close-range fever screening of patients with infectious diseases at primary care doctor clinics, health care centers, and quarantine stations in developing and developed countries. (C) 2014 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
Scientific journal, English - Rapid screening for influenza using a multivariable logistic regression model to save labor at a clinic in Iwaki, Fukushima, Japan
Vinh Quang Nguyen; Shigeto Abe; Guanghao Sun; Ayumu Matsuoka; Hidekazu Nishimura; Masayuki Ishihara; Takemi Matsui
AMERICAN JOURNAL OF INFECTION CONTROL, MOSBY-ELSEVIER, 42, 5, 551-553, May 2014, Peer-reviwed, To lighten the workload of health care professionals, we conducted a clinical test of a newly developed automated infection screening system using a multivariable logistic regression model. The system was tested with 44 influenza patients and 45 healthy control subjects based on 3 vital signs: facial temperature, heart rate and respiratory rate. The system showed a high accuracy for distinguishing influenza patients from control subjects within 15 seconds. Copyright (C) 2014 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
Scientific journal, English - Development of a stand-alone physiological monitoring system for noncontact heart and respiration rate measurements on real-time linux platform
Guanghao Sun; Shinji Gotoh; Takemi Matsui
IFMBE Proceedings, Springer Verlag, 43, 648-649, 2014, Peer-reviwed, We developed a stand-alone physiological monitoring system without any constraints on its users for daily life healthcare. The system measures tiny movements on a body surface induced by heartbeat and respiration in a noncontact manner using a 24-GHz microwave radar. To extract the related signals from the radar output, an analog band pass filter was designed and integrated into a printed circuit board. The software was developed on an embedded Linux platform for a stand-alone and modular design. To assess the performance of noncontact physiological monitoring, we conducted a laboratory test on eight healthy male subjects (ages: 22.0 ± 1.25 years). The heart and respiration rates determined by the proposed system correlated significantly with those measured by the contact-type electrocardiogram (r = 0.83, p <
0.01) and respiratory effort belt (r = 0.90, p <
0.01). The results showed that the respiration and heartbeat were accurately detected by the proposed system, which appears promising for monitoring physiological condition in daily life.
International conference proceedings, English - Design an Easy-to-use Infection Screening System for Non-contact Monitoring of Vital-signs to Prevent the Spread of Pandemic Diseases
Guanghao Sun; Nguyen Quang Vinh; Ayumu Matsuoka; Keisuke Miyata; Chris Chen; Akiko Ueda; Seokjin Kim; Yukiya Hakozaki; Shigeto Abe; Osamu Takei; Takemi Matsui
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), IEEE, 4811-4814, 2014, Peer-reviwed, The outbreak of infectious diseases such as influenza, dengue fever, and severe acute respiratory syndrome (SARS) are threatening the global health. Especially, developing countries in the South-East Asia region have been at serious risk. Rapid and highly reliable screening of infection is urgently needed during the epidemic season at mass gathering places, such as airport quarantine facilities, public health centers, and hospital outpatients units, etc. To meet this need, our research group is currently developing a multiple vital-signs based infection screening system that can perform human medical inspections within 15 seconds. This system remotely monitors facial temperature, heart and respiration rates using a thermopile array and a 24-GHz microwave radar, respectively. In this work, we redesigned our previous system to make a higher performance with a user-friendly interface. Moreover, the system newly included a multivariable logistic regression model (MLRM) to determine the possibility of infection. We tested the system on 34 seasonal influenza patients and 35 normal control subjects at the Japan Self-Defense Forces Central Hospital. The sensitivity and specificity of the screening system using the MLRM were 85.3% and 88.6%, respectively.
International conference proceedings, English - A 48 x 47 Pixel Thermopile-based Infrared Array Sensor for Non-contact Measurement of Facial Skin Temperature.
Guanghao Sun; Takemi Matsui; Tadafumi Saga; Takao Shimizu
The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, -, 2014, Peer-reviwed
International conference proceedings, English - KAZEKAMO: An Infection Screening System Remote Monitoring of Multiple Vital-signs for Prevention of Pandemic Diseases
Guanghao Sun; Takemi Matsui; Seokjin Kim; Osamu Takei
2014 IEEE 3RD GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), IEEE, -, 225-226, 2014, Peer-reviwed, The outbreak of infectious diseases such as swine flu (H1N1) and avian flu (H5N1) are threatening global health. Especially, developing countries in the South-East Asia region have been at serious risk. Rapid and reliable screening methods are urgently needed for preventing the spread of infection at mass gathering places such as, airport quarantine facilities and hospital outpatient units. In order to meet this need, we developed a multiple vital-signs based infection screening system (KAZEKAMO) that can perform medical inspections within 15 seconds. The system monitors not only body temperature but also heart and respiration rates. By using these three vital-signs, the detection accuracy of the system improved significantly.
International conference proceedings, English - Development of a stand-alone physiological monitoring system for noncontact heart and respiration rate measurements on real-time Linux platform
Guanghao Sun; Shinji Gotoh; Takemi Matsui
IFMBE Proceedings, Springer Verlag, 43, 649-651, 2014, Peer-reviwed, We developed a stand-alone physiological monitoring system without any constraints on its users for daily life healthcare. The system measures tiny movements on a body surface induced by heartbeat and respiration in a noncontact manner using a 24-GHz microwave radar. To extract the related signals from the radar output, an analog band pass filter was designed and integrated into a printed circuit board. The software was developed on an embedded Linux platform for a stand-alone and modular design. To assess the performance of noncontact physiological monitoring, we conducted a laboratory test on eight healthy male subjects (ages: 22.0 ± 1.25 years). The heart and respiration rates determined by the proposed system correlated significantly with those measured by the contact-type electrocardiogram (r = 0.83, p <
0.01) and respiratory effort belt (r = 0.90, p <
0.01). The results showed that the respiration and heartbeat were accurately detected by the proposed system, which appears promising for monitoring physiological condition in daily life.
International conference proceedings, English - A Pediatric Infection Screening System with a Radar Respiration Monitor for Rapid Detection of Seasonal Influenza among Outpatient Children.
Guanghao Sun; Yu Yao; Ritsu Yoshinaka; Mayumi Ikegami; Seokjin Kim; Michael Schiek; Takemi Matsui
Journal of Infectious Diseases and Therapy, 2, 163, 1-4, 2014, Peer-reviwed
Scientific journal, English - A portable infection screening system designed for onboard entry screening based on multi-parameter vital signs
Guanghao Sun; Nguyen Quang Vinh; Shigeto Abe; Osamu Takei; Masami Sugamata; Takemi Matsui
International Journal of E-Health and Medical Communications, 4, 3, 20-35, Jul. 2013, Peer-reviwed, After outbreak of severe acute respiratory syndrome (SARS) in 2003, many international airport quarantines adopted fever-based screening to identify infected individuals using infrared thermography to control global pandemic. Unfortunately, the sensitivity of fever-based screening system did not exceed 70.4% at Narita International Airport. In order to achieve accurate onboard entry screening for highly contagious infectious diseases, the authors developed a portable system designed for onboard entry screening with linear discriminant analysis. Within several tens of seconds, the system automatically discriminates infected individuals from normal subjects using measured heart rate, respiratory rate, as well as facial surface temperature determined by thermography. The size of system is small enough to be placed on airplane tray tables. The authors tested on 68 subjects including 12 influenza patients to evaluate the system. The result showed sensitivity of 91.7% and specificity of 92.9%. The system seems to be promising for onboard infection screening to safeguard public health. Copyright © 2013, IGI Global.
Scientific journal, English - Development of an infection screening system for entry inspection at airport quarantine stations using ear temperature, heart and respiration rates
Guanghao Sun; Nobujiro Abe; Youhei Sugiyama; Quang Vinh Nguyen; Kohei Nozaki; Yosuke Nakayama; Osamu Takei; Yukiya Hakozaki; Shigeto Abe; Takemi Matsui
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 6716-6719, 2013, Peer-reviwed, After the outbreak of severe acute respiratory syndrome (SARS) in 2003, many international airport quarantine stations conducted fever-based screening to identify infected passengers using infrared thermography for preventing global pandemics. Due to environmental factors affecting measurement of facial skin temperature with thermography, some previous studies revealed the limits of authenticity in detecting infectious symptoms. In order to implement more strict entry screening in the epidemic seasons of emerging infectious diseases, we developed an infection screening system for airport quarantines using multi-parameter vital signs. This system can automatically detect infected individuals within several tens of seconds by a neural-network-based discriminant function using measured vital signs, i.e., heart rate obtained by a reflective photo sensor, respiration rate determined by a 10-GHz non-contact respiration radar, and the ear temperature monitored by a thermography. In this paper, to reduce the environmental effects on thermography measurement, we adopted the ear temperature as a new screening indicator instead of facial skin. We tested the system on 13 influenza patients and 33 normal subjects. The sensitivity of the infection screening system in detecting influenza were 92.3%, which was higher than the sensitivity reported in our previous paper (88.0%) with average facial skin temperature. © 2013 IEEE.
International conference proceedings, English - A neural network-based infection screening system that uses vital signs and percutaneous oxygen saturation for rapid screening of patients with influenza.
Guanghao Sun; Yukiya Hakozaki; Shigeto Abe; Osamu Takei; Takemi Matsui
Health Special Issue on Advances in Avian Influenza and Treatment Research, 5, 8A5, 7-12, 2013, Peer-reviwed
Scientific journal, English - A novel infection screening method using a neural network and k-means clustering algorithm which can be applied for screening of unknown or unexpected infectious diseases
Guanghao Sun; Yukiya Hakozaki; Shigeto Abe; Nguyen Quang Vinh; Takemi Matsui
JOURNAL OF INFECTION, W B SAUNDERS CO LTD, 65, 6, 591-592, Dec. 2012, Peer-reviwed
Scientific journal, English - A Screening Method Based on Amplitude Probability Distribution Analysis for Detecting the Disordered Breathing Using Microwave Radar Respiration Signals
Guanghao Sun; Masayuki Kubota; Masayuki Kagawa; Nguyen Quang Vinh; Akira Kurita; Takemi Matsui
2012 ASIA-PACIFIC MICROWAVE CONFERENCE (APMC 2012), IEEE, 37-39, 2012, Peer-reviwed, In order to diagnose sleep apnea-hypopnoea syndrome (SAHS) automatically without using contact-type sensors, we developed a non-contact screening method using amplitude probability (AP) of a compact microwave radar output amplitude which corresponds to respiratory chest movements. We conducted non-contact respiration monitoring of elderly subjects in bed using dual 24-GHz microwave radars attached beneath mattress of a bed. The respiration amplitudes of SAHS patients fluctuate while asleep. AP means a probability of respiration amplitudes falling below a threshold level (%RMS of radar output amplitude). In order to assess the efficacy of this screening method, we tested on 14 elderly non-SAHS subjects and four elderly SAHS subjects (88.0 +/- 9.9 years) at a nursing home. The proposed method achieved 100% sensitivity when we set AP and %RMS, 0.3 and 50, respectively.
International conference proceedings, English - A novel stress monitoring method through stress-induced respiratory alterations: Non-contact measurement of respiratory V(T)/T(I) alterations induced by stressful sound using a 10 GHz microwave radar
S. Gotoh; G. Sun; M. Kagawa; T. Matsui
Journal of Medical Engineering and Technology, 35, 8, 416-419, Nov. 2011, Peer-reviwed, We have developed a non-contact stress monitoring system which measures respiratory V(T)/T(I) (tidal volume/inspiration time) alterations using a 10 GHz microwave radar. The measurable distance of the system is 50cm, which is 10 times longer than our previously developed stress monitoring system which measures heart rate variability using a 24-GHz microwave-radar. The study was conducted with eight subjects (23±1years old) to evaluate the efficacy of the system. An audio stimulus at 95 dB sound pressure level was presented to the subjects following a silent period of 120 seconds. During the silent period, V(T)/T(I) averaged 826±384ml s-1, while it increased significantly (p <
0.05) with an average of 1227±704ml s-1 during audio stimulus low frequency component (LF)/high frequency component (HF), which reflects sympatho-vagal valance, showed a peak during audio stimuli. This paper aims to study the efficacy of the non-contact stress monitoring system for its future applications in many fields including health and safety. © 2011 Informa UK, Ltd.
Scientific journal, English - The Effect of an Auxiliary Stimulation on Motor Function Restoration by FES
Baoping Yuan; Guanghao Sun; Jose Gomez; Yu Ikemoto; Jose Gonzarlez; Chieko Murai; Rajendra U. Acharya; Wenwei Yu; Shuichi Ino
JOURNAL OF MEDICAL SYSTEMS, SPRINGER, 35, 5, 855-861, Oct. 2011, Peer-reviwed, Functional Electrical Stimulation (FES) is a technology to generate neural activity in an artificial way to activate muscles. However, as reported by some researchers, the human responses to FES are likely to be affected by several factors, such as spasticity, muscle fatigue, nerve habituation and so forth. Consequently, the function restoration by FES is neither durable, nor stable. In order to realize long-term and stable FES assistance, this study investigated whether and why an Auxiliary Stimulation (AS) to the Gastrocnemius, with current frequency ranged from 2000 to 6000 Hz, could alleviate the symptom of spasticity and muscle fatigue caused by the stimulation to the Tibialis Anterior. We have developed a portable auxiliary stimulator, and performed experiments to verify its effectiveness. The results showed that our approach enabled comparatively stable and durable function restoration assistance. Moreover, for understanding underlying neuromuscular processes elicited by the AS and its qualitative nature, this study also measured the Hoffmann-reflex (H-reflex) in soleus muscle before and after the AS, to interpret the effect of the Auxiliary Stimulation.
Scientific journal, English - A Novel Non-contact Infection Screening System Based on Self-Organizing Map with K-means Clustering
Guanghao Sun; Shigeto Abe; Osamu Takei; Yukiya Hakozaki; Takemi Matsui
DATABASE THEORY AND APPLICATION, BIO-SCIENCE AND BIO-TECHNOLOGY, SPRINGER-VERLAG BERLIN, 258, 125-+, 2011, Peer-reviwed, This paper aims to evaluate the efficacy of our non-contact infection screening system which uses Kohonen's self-organizing map (SOM) with K-means clustering algorithm. In this study, the linear discriminant analysis (LDA) used in our previous system was replaced by SOM with K-means clustering algorithm to increase accuracy. The system simultaneously measures heart rate, respiratory rate, and facial skin temperature. The evaluation was done using the same data which we used in our previous study. The data was based on the test on 57 influenza patients and 35 normal control subjects at Japan Self-defense Forces Central Hospital. The system showed higher sensitivity of 98% and negative predictive value (NPV) of 96% compared to our previous system (sensitivity of 89%. NPV of 83%). The system can be used as a public health measure at points of entry where high sensitivity is most required in order to prevent the spread of the pandemic.
International conference proceedings, English - A portable screening system for onboard entry screening at international airports using a microwave radar, reflective photo sensor and thermography
Guanghao Sun; Shigeto Abe; Osamu Takei; Takemi Matsui
Proceedings - International Conference on Instrumentation, Communication, Information Technology and Biomedical Engineering 2011, ICICI-BME 2011, 107-110, 2011, Peer-reviwed, We developed a portable screening system designed for onboard entry screening at international airports. The system can identify passengers who are potentially infected with epidemic diseases such as severe acute respiratory syndrome (SARS) or pandemic influenza. With its size being small enough to be placed on airplane tray tables, the system enables entry screening while passengers are onboard. In addition, this automatic system may greatly reduce time and effort required for screening. © 2011 IEEE.
International conference proceedings, English
MISC
- COVID-19患者における高分解能24時間心電計を用いた心臓死予測パラメータの有用性について
橋本 賢一; 木俣 元博; 原田 直美; 孫 光鎬; 笠巻 祐二
福田記念医療技術振興財団, Dec. 2023, 福田記念医療技術振興財団情報, 36, 105-114, Japanese, AN10444711 - スマートフォンのデプスカメラを用いた慢性閉塞性肺疾患のための呼吸機能検査システムの開発
宇都宮賢太郎; 佐藤正平; 西根広樹; 廣田宗司; 渡辺さだお; 孫光鎬; 峯下昌道; 松井岳巳
2023, 日本生体医工学会大会プログラム・抄録集(Web), 62nd, 202302277118160065 - 実験動物におけるDXの試み その2-非接触方法でのラット呼吸数および心拍数測定-
川辺敏晃; 喜多章太; 千田廉; 千田廉; 千田廉; 大村功; 道野隆二; 渡辺秀典; 山内寿人; 井上聖也; 孫光鎬
2023, 日本実験動物学会総会講演要旨集(Web), 70th, 202302239039971693 - 在宅高齢者看取り支援のためのチェーンストークス呼吸非接触・自動検出システムの開発と臨床応用
齋藤 晶斗; 神田 雅大; 孫 光鎬; 箱崎 幸也; 松井 岳巳
在宅看取り支援の一環として,終末期の徴候で,呼吸振幅が周期的に増減するチェーンストークス呼吸（Cheyne-Stokes respiration：CSR）に着目し,療養型病院においてCSRの自動検知に成功した(Y.Otake. et. al., Eur Heart J Case Rep.2021).2台のドップラーレーダー(24GHz,10mW)をベッドのマットレス下に設置して呼吸波形を求め,呼吸波形の包絡線の振幅のパワースペクトル密度(PSD)の最大値が0.0083~0.033Hz(日本救急医学会)の範囲に存在した場合CSRと判定したが,体動による呼吸振幅の見かけ上の変動に起因する誤検知が多く,特異度が低い値を示した.本研究では以下２つのアルゴリズムを提案し,CSR検知精度向上を目指した.① PSDの高周波ピーク(0.033Hz~)を用いた体動検出アルゴリズム. ②CSRに付随する無呼吸（睡眠障害国際分類ver3）検出アルゴリズム.①と②のアルゴリズムを搭載した新システムを用い,2021年4月までに元気会横浜病院に認知症,脳出血後遺症等で入院した22名の患者の連続モニターを行った.22名中３名(女性3名,77±10歳)で110回のCSRイベントが発生し,感度92%（92%）,特異度99%（79%）(①②無し),正確度96%でCSRを自動検知できた.在宅での運用を予定している., 公益社団法人 日本生体医工学会, 2022, 生体医工学, Annual60, Abstract, 136_2-136_2, Japanese, 1347-443X, 1881-4379, 202202270046608619 - スマートフォン内蔵の深度センサを用いた非接触呼吸機能計測アプリ
三矢 将; 黒沢 正樹; 桐本 哲郎; 松井 岳巳; 孫 光鎬
肺機能計測において，個人レベルでの即時・常時計測を可能にするためには，場所と時間を問わず簡単に利用できるシステムが必要であると同時に，臨床診断にも十分に利用できる必要がある．この要求を担うプラットフォームとしてモバイルヘルスが注目されている．呼吸器疾患では特定の領域に発症するものがあり，左右・上下の呼吸運動に非同期性が現れる．よって左肺と右肺の呼吸信号は呼吸器疾患の兆候・進行・改善を診断する上で重要なインジケータとなる．本研究では肺機能計測システムをスマートフォンとその内蔵深度センサを用いたアプリとして実装する中で，生理学に基づく胸部ROI分割手法を2つ提案し，信頼性の高い左右の呼吸信号推定を行う．本分割方法はセンサで計測された2次元深度マップにおいて，吸気による胸腹部前方の変位量に各領域で差が表れることを仮定する．実装したシステムの評価結果において，ROI分割は被験者3名全てで成功し，ROIを分割できた場合の各領域の変位量には分割できなかった場合と比較して有意な差（p＜0.05）が確認された．同時計測した左右胸郭の生体インピーダンスに対して，分割ROIから計測した左右胸部の推定呼吸波形それぞれが高い相関を持つことが確認された（r=0.94）．本システムによって，スマートフォンのみを用いた左右呼吸信号の即時・常時計測が可能になる．, 公益社団法人 日本生体医工学会, 2022, 生体医工学, Annual60, Abstract, 136_1-136_1, Japanese, 1347-443X, 1881-4379, 202202219108059286 - RGBカメラを用いた非接触酸素飽和度計測の基礎的検討
泉 素弘; 黒沢 正樹; 桐本 哲郎; 松井 岳巳; 孫 光鎬
動脈血酸素飽和度（SpO2）は，身体の異常を検知する重要な指標である．SpO2計測には，生体を透過した光を利用した接触式のパルスオキシメータが実用化されている．接触式の問題点として，長時間計測による患者への不快感を起こす可能性がある．本研究では，非接触式RGBカメラからの容積脈波(imaging-Photoplethysmography，iPPG) 信号を抽出し，非接触でSpO2計測の可能性を検討する．抽出されたRGB３チャンネル信号の異なる光の波長における酸化ヘモグロビンと還元ヘモグロビンの吸光スペクトルの違いを利用して，SpO2を推定する．容積脈波信号は，動脈血の脈動成分（AC成分）と非脈動成分（DC 成分）で構成されており，これらの比より算出されるRを用いた回帰式よりSpO2推定を行う．AC成分の算出において，信号包絡線による脈動振幅を用いた方法と標準偏差による信号のばらつきを用いた方法の2つの手法を比較し，非接触式計測において，SpO2の低下によるRの増加を定性的に確認でき，非接触でのSpO2計測の可能性を示した．, 公益社団法人 日本生体医工学会, 2022, 生体医工学, Annual60, Abstract, 239_2-239_2, Japanese, 1347-443X, 1881-4379, 202202252279426289 - ドップラーレーダによる呼吸・心拍信号計測のためのニューラルネットワークを利用した体動検出
安堵城 大平; 孫 光鎬; 黒沢 正樹; 桐本 哲郎
心拍・呼吸などのバイタルサインは，人間の健康状態を判断できる重要な指標である．非接触型の計測方法としては，ドップラーレーダを用いた非接触計測手法が提案され，接触型より簡易かつ長時間計測が可能という利点がある．しかし，同手法は不規則な体動アーチファクトによって，レーダの受信信号に心拍・呼吸情報が計測できない問題点がある．本研究では，フィードフォワードニューラルネットワーク(Feedforward Neural Network, FFNN)を用いて，不規則な体動信号の検出法を開発した．FFNNの体動判定モデルの作成には，心拍・呼吸・体動を模擬したシミュレーション信号データセットを用いてトレーニングを行った．また，FFNN100×20のNN構造でのテストデータセットで検証した結果，体動変位が5～10mm, 10～15mm, 15～20mmにおいて，体動区間の検出エラー率がそれぞれ14.1%，10.3%，7.6%であり，体動変位が大きくなるにつれて，エラー率が低下する傾向を示した．, 公益社団法人 日本生体医工学会, 2022, 生体医工学, Annual60, Abstract, 177_2-177_2, Japanese, 1347-443X, 1881-4379, 202202232746213065 - Non-contact prefrontal cortex temperature estimation method trained by a deep body thermometer
Teramoto Shiori; Sun Guanghao; Asai Masahito; Matsui Takemi
With the COVID-19 pandemic, body temperature estimation based on surface temperature have been conducted in various locations. In order to conduct accurate deep body temperature estimation, we estimated prefrontal cortex temperature from surface temperature near the inner corner of an eye using temperature compensation-type deep body temperature probe attached to forehead to obtain prefrontal cortex temperatures as training data.The temperatures of facial surface near the eye and prefrontal cortex were measured in 6 healthy subjects (4 males and 2 females, mean age 21.7 years).Below is the equation for estimating prefrontal cortex temperature using 40 training data sets of 4 subjects.Y=0.27*X+26.9 (Y: prefrontal cortex temperature, X: surface temperature near the inner corner of an eye)We verified the accuracy with 20 test data sets of 2 subjects and the estimation equation showed high accuracy with an estimation error of 0.03 degrees Celsius and a correlation coefficient of 0.88., Japanese Society for Medical and Biological Engineering, 2021, Transactions of Japanese Society for Medical and Biological Engineering, Annual59, Abstract, 367-367, Japanese, 1347-443X, 1881-4379, 130008105287 - 生体信号を用いた快-不快状態の分類
東間章人; 橋本卓弥; 孫光鎬; 山崎洋一
2020, 日本ロボット学会学術講演会予稿集(CD-ROM), 38th, 202002245818831910 - 心拍変動(HRV)指標のロジスティック判別分析による客観的うつ病診断
孫光鎬; 松井岳巳; 榛葉俊一; 仮屋暢聡
2019, 日本精神神経学会総会プログラム・抄録集, 115th, 201902222904802216 - 抗うつ薬未服用患者を対象とした乱数生成課題時の自律神経応答を用いた年代別うつ病スクリーニング法の開発
林原史明; 松井岳巳; 榛葉俊一; 榛葉俊一; 孫光鎬; 孫光鎬; 仮屋暢聡
2019, 日本精神神経学会総会プログラム・抄録集, 115th, 201902238172539962 - 乱数生成課題時の自律神経応答のロジスティック回帰分析を用いた年代別うつ病スクリーニング法の開発
林原 史明; 松井 岳巳; 榛葉 俊一; 孫 光鎬; 仮屋 暢聡
我々は精神負荷課題を課した際の自律神経活性を反映する心拍数変動指標や心拍数の変化が健常者とうつ病患者で異なることを利用して,うつ傾向の有無を客観的に判定するための研究を行い80％のスクリーニング感度(Sun,Shinba,Matsui, Front Psychiatry 2016)を得た.更なる感度向上を目指し,加齢による自律神経機能の変化に着目して,精神負荷に対する自律神経応答を用いた年代別うつ病スクリーニング法を開発した.精神科を受診した抗うつ薬未服用のうつ病患者50名(43±13歳),および健常な男女47名(41±12歳)を対象に,それぞれ100秒間の課題前安静,乱数生成課題,課題後安静の心電図から,毎秒,過去40秒間のR-R間隔の時系列に周波数解析を施し,HF,LF/HFを算出した。スクリーニングにはロジスティック回帰分析(LRA)から得た判別式を用い,説明変数には乱数生成課題,およびその前後のHFとLF/HF,心拍数を用いた.うつ病患者と健常者を,20歳代以下,30歳代,40歳代,50歳代以上の年代ごとにLRAを行い,各年代のスクリーニング結果を統合した結果,感度94％,特異度93％,陽性的中率92％,陰性的中率93％の結果が得られた.提案手法は初診時の診療補助,プライマリ・ケアの一環として有望である., 公益社団法人 日本生体医工学会, 2019, 生体医工学, Annual57, Abstract, S52_2-S52_2, Japanese, 1347-443X, 1881-4379, 201902238507806421 - ToFカメラを用いた肺機能検査測定システムによる呼吸機能の非接触モニタリング
坂本 寛和; 孫 光鎬; 松井 岳巳; 桐本 哲郎
肺機能検査は換気能力や肺病の有無を調べる呼吸器検査の1つであり、スパイロメーターを用いて計測する。同装置は、高価であり、取り扱いが簡便でないため、臨床外来ではこれを用いる機会は少ない。また、スパイロメーターは接触測定であること、測定に手間がかかることが課題として挙がる。本研究では、ToF(Time of Flight)カメラを用いた呼吸機能の非接触計測を提案する。ToFカメラは撮像対象までの距離を算出でき、胸郭変動と呼吸変動に相関関係があるため、ToFカメラで時間変動に応じた胸部の変位を測定して呼吸をモニタリングする。非接触でToFカメラによる呼吸機能の計測性能を評価するため、安静時の呼吸数と肺機能検査の肺活量測定の指標である1秒率（Tiffenaeu,Gaensler）を算出した。リファレンスとして呼吸バンド・スパイロメーターと同時計測を行い、記述統計・Bland-Altman解析により結果を評価した。呼吸数算出は計測誤差1.66%、Bland-Altman解析の95%信頼区間は-4.31~3.92bpmの範囲となった。肺機能検査は計測誤差がTiffenaeuの1秒率が15.1%、Gaenslerの1秒率が7.82%となった。計測結果から、ToFカメラを用いて高精度な呼吸計測が可能であることを示した。, 公益社団法人 日本生体医工学会, 2019, 生体医工学, Annual57, Abstract, S239_2-S239_2, Japanese, 1347-443X, 1881-4379, 201902282393831876, 130007776727 - ドップラーレーダを用いた連続非接触血圧測定
大畠 知之; 石橋 孝一郎; 孫 光鎬
近年、世界的に高血圧が問題であり、連続血圧測定の重要性が高まっている。先行研究ではカフレス連続血圧測定の方法として脈波伝搬時間(PTT)を用いた方法が多く研究されている。しかし、PTTを取得するために体の多箇所にPPG（photoplethysmography）やECG（electrocardiogram）を設置する必要があるため、行動の制限や不快感を覚えるなどの欠点が存在する。これより、本研究ではドップラーレーダを用いた非接触による連続血圧測定方法の研究を行った。我々は、心拍1回分の周期と心臓が収縮している時間を用いて、血圧を推定する方法の研究を行った。拡張期血圧(DBP)は、心臓が収縮している時間を用いて推定し、脈圧(PP)は、心拍1回分の周期および心臓が収縮している時間を使用して推定した。収縮期血圧(SBP)は、推定したDBPとPPの和によって推定した。推定した血圧値と血圧計で取得した血圧値を用いて相関係数を算出した。相関係数はそれぞれSBPが0.79、DBPが0.88、PPが0.81と共に十分高い値が得られた。ドップラーレーダを用いた非接触方式による血圧測定の可能性を得られた。, 公益社団法人 日本生体医工学会, 2019, 生体医工学, Annual57, Abstract, S258_2-S258_2, Japanese, 1347-443X, 1881-4379, 201902249005605005, 130007776774 - マイクロ波ドップラーレーダを用いた非接触バイタルサイン計測のための不規則な体動除去法
松島 智哉; 桐本 哲郎; 孫 光鎬
人体に触れずに呼吸数と心拍数を計測する方法として，近年マイクロ波ドップラーレーダが注目されている．しかし，呼吸と心拍による微小な体表面の振動の他に不規則な体動によって，レーダの直交IQ信号にノイズが生じてしまい計測精度が悪化するという問題点がある．そこで，本研究ではレーダと測距ToF（Time-of-Flight）カメラを融合することによる不規則な体動除去法を提案する．IQ信号とは体動による相対的な変位を直交位相とする余弦波（I信号）と正弦波（Q信号）のことである．ToFカメラで不規則な体動を計測し，スケーリングを施し，これを位相とする余弦波と正弦波を生成した．加法定理を用いてこれらとIQ信号を組み合わせることで，IQ信号の位相内に含まれる不規則な体動成分の除去を行った．実部をI信号，虚部をQ信号とする複素復調を施し，周波数解析を行うことで呼吸数と心拍数を算出した．健康な成人男性5名を対象として，仰臥位，座位，立位の3つの姿勢で，体動を含んだ状態で呼吸数・心拍数の計測実験を行った．呼吸数の平均平方二乗誤差率は，体動除去処理を行うことで仰臥位において19.4％，座位において13.3％減少した．, 公益社団法人 日本生体医工学会, 2019, 生体医工学, Annual57, Abstract, S67_1-S67_1, Japanese, 1347-443X, 1881-4379, 201902248504561752 - マットレス下に設置した２台のドップラーレーダーを用いた非接触・血圧モニターの開発
草野 紘平; 孫 光鎬; 松井 岳巳
わが国では史上例を見ない速度で高齢化が進展し，健康保健制度が財政的限界に近づきつつある．厚生労働省では往診保険点数の見直しにより在宅医療の普及を推進している．在宅医療患者の感じる不安として，急変時の不安が挙げられており，ショック(血圧の急激な低下)などの病態の急変に備える必要がある．本研究では，安静時の収縮期血圧のみカフで求め，就寝時の一拍ごとの血圧変動を非接触で推定するシステムを開発した．非接触・血圧変動モニターはベッドのマットレス下(胸部(第４肋間付近)及び膝窩部付近)に設置した２台のドップラーレーダー(24GHz 10mW)により構成される．非接触で求めた脈波伝播時間，脈波振幅，心拍数より重回帰分析を用いて，一拍ごとの収縮期血圧の変化を推定し，安静時にカフで求めた収縮期血圧を初期値とし，2分間の静的ハンドグリップ運動負荷(最大握力の30%)時と，運動負荷終了後4分間の一拍ごとの収縮期血圧を非接触で推定する．健康な男子大学生10名(23±1歳)を対象に提案システムによる収縮期血圧の推定値(交差検証)とカフで求めた収縮期血圧とを比較し，推定精度の検証を行ったところ，相関係数0.74 (p<0.05)，平均誤差9mmHgの結果が得られた．, 公益社団法人 日本生体医工学会, 2019, 生体医工学, Annual57, Abstract, S69_1-S69_1, Japanese, 1347-443X, 1881-4379, 201902256695298099 - サポートベクターマシンを用いた精神負荷と呼吸統制時の心拍変動による精神疾患患者のスクリーニング法
小林茉以; 孫光鎬; 榛葉俊一; 松井岳巳; 桐本哲郎
2018, 計測自動制御学会ライフエンジニアリング部門シンポジウム論文集(CD-ROM), 2018, 2187-9605, 201802224335493763 - 自殺予防のための乱数生成課題時の自律神経応答を用いた高精度うつ病スクリーニング法の開発
松井岳巳; 榛葉俊一; 熊沢良太; 孫光鎬; 仮屋暢聡
2018, 日本精神神経学会総会プログラム・抄録集, 114th, 201802247731430243 - 心拍数変動指標を用いた高精度うつ病スクリーニング法の開発-2種の精神負荷課題を併用した判定アルゴリズム-
松井岳巳; 榛葉俊一; 孫光鎬
2018, 心電図, 38, Supplement 1, 0285-1660, 201802252095463747 - うつ病と不安障害は異なる心拍変動異常所見を呈する
榛葉俊一; 松井岳巳; 孫光鎬; 仮屋暢聡
2018, 日本精神神経学会総会プログラム・抄録集, 114th, 201802259161852775 - Development of Healthcare Monitoring System Using Non-Contact Bio-measurement Technology
Sun Guanghao; Kirimoto Tetsuo
The technology for non-contact measurement of vital signs (i.e. heart rate, respiration, and body temperature) has attracted much attention, which are important for understanding the state of health. In recent years, as technology for sensing biological information has progressed, novel bio-sensors have been developed successively. There have also been reports regarding methods for measuring vital signs using microwave radar, thermography, and RGB camera, etc. The methods have wide-ranging applications, including systems for mon-itoring elderly people, identification of sleep apnea, detection of patients suspected to have an infectious dis-ease, and measurement of stress levels., Transdisciplinary Federation of Science and Technology, 2018, Proceedings of the Conference of Transdisciplinary Federation of Science and Technology, 2018, D-4-3, Japanese, 130007504292 - 乱数生成課題時の自律神経応答を用いた高精度うつ病スクリーニングシステムの開発
熊澤良太; 榛葉俊一; 孫光鎬; 橋爪絢子; 松井岳巳
2017, ストレス科学, 32, 2, 1349-4813, 201802211450961730 - 乱数課題時のランダム性ロジスティック分析によるうつ病スクリーニングシステムの開発
大瀧伸吾; 仮屋暢聡; 榛葉俊一; 松田小織; 孫光鎬; 橋爪絢子; 松井岳巳
2017, ストレス科学, 32, 2, 1349-4813, 201802250241906402 - ニューラルネットワークを用いたHRV解析によるうつ病判定
松尾 太郎; 孫 光鎬; 榛葉 俊一; 桐本 哲郎
心拍変動（HRV）指標は，交感神経および副交感神経活動を定量的に示し，うつ病を客観的に診断するバイオマーカーとして有用である．数字をランダムに発声させる軽い精神負荷状況で，うつ病患者はHRV指標に特有の反応を示すことが知られている．そこで本稿では，ニューラルネットワーク（NN）を用いたHRV指標による客観的なうつ病診断手法を提案する．NNは非線形判別が可能であり，個人差が大きいHRV指標を扱う点で有効である．静岡済生会病院のうつ病患者44名と健常者47名を対象とし，安静期・精神負荷期・回復期のHRV指標および心拍数を計測した．これらの指標をNNの入力とし，出力値から健常者とうつ病患者の判別を行った．NNの教師データとして臨床経験30年以上の精神科専門医の診断結果を用い，誤差逆伝播法による学習を行った．性能評価では，交差検証を用いて，うつ病患者の数だけNNの学習を繰り返し，その都度評価した．この結果から，未学習データに対して約76%の精度でうつ病患者を判別できることがわかった．また，誤判別したうつ病患者のHRV指標をみると，健常者が精神負荷に対して示す反応と類似していることが確認された．したがって，うつ病患者と健常者をより正確に差別化するHRV指標が必要である．今後は，うつ病患者の特徴量を増やすために，精神負荷に加え，副交感神経を刺激する呼吸統制を導入する．, 公益社団法人 日本生体医工学会, 2017, 生体医工学, 55Annual, 4PM-Abstract, 353-353, Japanese, 1347-443X, 1881-4379, 130006077032 - Estimation of Autonomic Nervous Activity for Communication Robot
TSUJI Keita; HASHIMOTO Takuya; YAMAZAKI Yoichi; SUN Guanghao
The purpose of this study is to enable a communication robot to estimate emotion state of a person based on autonomic nervous activity for human-robot ‘emotional’ interaction. In this paper, a microwave Doppler sensor is used as a non-contact technique to measure heart rate variability related to autonomic nervous activity. The experiment was conducted to confirm whether our proposed method can precisely estimate heart rate variability of subjects during watching different genre of videos or speaking. The results showed that the proposed method can estimate variability of autonomic nervous activity based on the analysis of heartbeat interval (R-R interval) and has a potential to be applicable in human-robot interaction., The Japan Society of Mechanical Engineers, 2017, The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2017, 2A1-L07, Japanese, 2424-3124, 130006220889 - Non-contact Acquisition of Respiration and Heart Rates Using Doppler Radar with Time Domain Peak-detection Algorithm
Xiaofeng Yang; Sun Guanghao; Ishibashi Koitiro
The non-contact measurement of the respiration rate (RR) and heart rate (HR) using a Doppler radar has attracted more attention in the field of home healthcare monitoring, due to the extremely low burden on patients, unconsciousness and unconstraint. In this study, we propose a time-domain peak detection algorithm for the fast acquisition of the RR and HR within a breathing cycle (approximately 5 s). Signal pre-processing using an analog band-pass filter that extracts respiration and heartbeat signals was performed. Thereafter, the HR and RR were calculated using a peak position detection method. As a reference of HR and RR, the persons wore contact sensors i.e., an electrocardiograph (ECG) and a respiration band. The time domain peak-detection algorithm, based on the Doppler radar, exhibited a significant correlation coefficient of HR of 0.92 and a correlation coefficient of RR of 0.99, between the ECG and respiration band, respectively., Japanese Society for Medical and Biological Engineering, 2017, Transactions of Japanese Society for Medical and Biological Engineering, 55Annual, 3PM-Abstract, 205-205, Japanese, 1347-443X, 1881-4379, 130006076975 - An Experimental Study of Detecting the Optimal Dual-Radar Placement during Supine Positioning for Non-contact Vital Signs Measurement
Ishikawa Hikaru; Kirimoto Tetsuo; Sun Guanghao
The Japan Joint Automatic Control Conference, 2017, Proceedings of the Japan Joint Automatic Control Conference, 60, 1516-1517, Japanese, 130006251293
Books and other publications
- ストレス・疲労のセンシングとその評価技術
孫 光鎬
Scholarly book, Japanese, Joint work, 第14章第2節, 技術情報協会, 2019 - AI導入によるバイオテクノロジーの発展
孫光鎬
Scholarly book, Japanese, Joint work, 第5章 ヘルスケアへの展開 5.1 機械学習クラスタ解析を応用した感染症スクリーニングシステムの研究開発, シーエムシー出版, 09 Feb. 2018 - 生体情報センシングデバイス～センサ設計開発に求められる要素技術・課題と対策ノウハウ～
孫 光鎬
Japanese, Contributor, 第5章第2項 赤外線・RGB顔画像解析による非接触バイタルサイン計測技術, 情報機構, 2018 - Non-contact monitoring of vital signs with RGB and infrared camera and its application to screening of potential infection
Guanghao Sun; Toshiaki Negishi; Tetsuo Kirimoto; Takemi Matsui; Shigeto Abe
English, Joint work, IntechOpen, 2018 - Applications of Infrared Thermography for Noncontact and Noninvasive Mass Screening of Febrile International Travelers at Airport Quarantine Stations.
Guanghao Sun; Takemi Matsui; Tetsuo Kirimoto; Yu Yao; Shigeto Abe
Scholarly book, English, Joint work, Chapter: Application of Infrared to Biomedical Sciences, Springer, 2017 - 生体情報センシングと ヘルスケアへの最新応用 ～ウェアラブル、非侵襲・非接触計測、連続モニタリング～
孫 光鎬; 桐本哲郎
Scholarly book, Japanese, Joint work, 第2章第2節：小型マイクロ波レーダーによる心拍、呼吸の計測技術, 技術情報協会, 2017
Lectures, oral presentations, etc.
- スマートフォン内蔵の深度センサを用いた非接触呼吸機能計測アプリ
三矢 将; 黒沢 正樹; 桐本 哲郎; 松井 岳巳; 孫 光鎬
Oral presentation, Japanese, 第61回日本生体医工学会大会, Domestic conference
Jun. 2022 - 在宅高齢者看取り支援のためのチェーンストークス呼吸非接触・自動検出システムの開発と臨床応用
齋藤 晶斗; 神田 雅大; 孫 光鎬; 箱崎 幸也; 松井 岳巳
Oral presentation, Japanese, 第61回日本生体医工学会大会, Domestic conference
Jun. 2022 - ドップラーレーダによる呼吸・心拍信号計測のためのニューラルネットワークを利用した体動検出
安堵城 大平; 孫 光鎬; 黒沢 正樹; 桐本 哲郎
Oral presentation, Japanese, 第61回日本生体医工学会大会, 第61回日本生体医工学会大会, Domestic conference
Jun. 2022 - RGB カメラを用いた非接触酸素飽和度計測の基礎的検討
泉 素弘; 黒沢 正樹; 桐本 哲郎; 松井 岳巳; 孫 光鎬
Poster presentation, Japanese, 第61回日本生体医工学会大会
Jun. 2022 - 汗腺支配の交感神経バーストと末梢皮膚温に着目した腕時計型うつ病スクリーニングシステムの臨床応用
長谷川拳也; 平塚巧真; 小原右輔; 仮屋暢聡; 孫光鎬; 榛葉俊一; 松井岳巳
Oral presentation, Japanese, 第117回 日本精神神経学会学術総会
2021 - iPhone の TrueDepth カメラを用いた往診用・COPD スクリーニングシステムの提案
清水拓実; 三矢 将; 孫 光鎬; 廣田宗司; 渡辺さだお; 田中智士; 西根広樹; 峯下昌道; 松井岳巳
Oral presentation, Japanese, 第 246 回日本呼吸器学会関東地方会
2021 - マイコンを用いたドップラーレーダ信号による高精度心拍検出
辻本英之; 石橋孝一郎; 孫光鎬
Oral presentation, Japanese, 電子通信情報学会総合大会
2021 - 非接触医用レーダと品質評価機械学習による高信頼感染症スクリーニング
熊谷洸貴; 石橋孝一郎; 孫 光鎬
Oral presentation, Japanese, 電子情報通信学会、ニューロコンピューティング研究会（NC）
2021 - サーモグラフィーを用いた自動的な両鼻孔の追跡によるロバストな呼吸数推定法
中井 康平; 黒沢 正樹; 桐本 哲郎; 松井 岳巳; 孫 光鎬
Oral presentation, Japanese, 第60回日本生体医工学会大会
2021 - COVID-19 蔓延防止のための独立成分分析を用いた実用型・感染症スクリーニングシステムの開発
長谷見 航平; 草野 紘平; 孫 光鎬; 阿部 重人; 松井 岳巳
Oral presentation, Japanese, 第60回日本生体医工学会大会
2021 - ドップラーレーダーを用いた非接触計測によるオーダーメイド型・リアルタイム肺炎モニターの開発と臨床応用
神田 雅大; 大竹 裕介; 伊藤 諒; 小林 剛; 孫 光鎬; 箱崎 幸也; 松井 岳巳
Oral presentation, Japanese, 第60回日本生体医工学会大会
2021 - 熱流補償型・深部温度計の測定値を学習に用いた非接触・脳前頭前野温度推定法の開発
寺本 汐里; 孫 光鎬; 淺井 雅人; 松井 岳巳
Oral presentation, Japanese, 第60回日本生体医工学会大会
2021 - 睡眠中の自律神経応答を用いた腕時計・24 時間・メンタルホルターの開発と治療効果推定
平塚 巧真; 小原 右輔; 仮屋 暢聡; 孫 光鎬; 榛葉 俊一; 井上 智子; 松井 岳巳
Oral presentation, Japanese, 第60回日本生体医工学会大会
2021 - 非接触バイタルサイン計測技術の研究開発と感染症疑い患者の検出への応用
孫光鎬
Oral presentation, Japanese, 第24回酸素ダイナミクス研究会, Invited
2020 - CCDカメラのRGB3信号を用いた非接触脈波信号の計測法
西川真帆; 孫光鎬; 榛葉俊一; 松井岳巳; 桐本哲郎
Poster presentation, Japanese, 第59回 日本生体医工学会大会
2020 - CR-SSAによる呼吸及び体動下での非接触な心拍検出
岩田勇樹; 石橋孝一郎; 孫光鎬; Manh Ha Luu; Trong Thanh Han、Linh Trung Nguyen; Trong Tuan Do
Poster presentation, Japanese, 第59回 日本生体医工学会大会
2020 - 独立成分分析による10GHz帯と24GHz帯域ドップラーレーダから計測された心拍・呼吸信号の分離法
枝並佳佑; 孫光鎬; 桐本哲郎; 黒沢正樹; 松井岳巳
Poster presentation, Japanese, 第59回 日本生体医工学会大会
2020 - 非接触・リアルタイム肺炎モニターの開発と療養型病院における長期連続稼働
神田 雅大; 渡辺 貞雄; 孫 光鎬; 小林 剛; 岡田 真和; 箱崎 幸也; 松井 岳巳
Oral presentation, Japanese, 人間工学
2020 - 睡眠中の自律神経応答を用いた腕時計型・24時間メンタル・ホルターの開発とうつ病スクリーニング精度評価
平塚巧真; 小原右輔; 仮屋暢聡; 孫光鎬; 榛葉俊一; 井上智子; 松井岳巳
Oral presentation, Japanese, 第116回 日本精神神経学会学術総会
2020 - ドップラーレーダを用いた連続非接触血圧測定
大畠 知之; 石橋 孝一郎; 孫光鎬
Poster presentation, Japanese, 第58回 日本生体医工学会大会
2019 - ToFカメラを用いた肺機能検査測定システムによる呼吸機能の非接触モニタリング
坂本 寛和; 孫光鎬; 松井 岳巳; 桐本 哲郎
Poster presentation, Japanese, 第58回 日本生体医工学会大会
2019 - マットレス下に設置した２台のドップラーレーダーを用いた非接触・血圧モニターの開発
草野 紘平; 孫光鎬; 松井 岳巳
Poster presentation, Japanese, 第58回 日本生体医工学会大会
2019 - マイクロ波ドップラーレーダを用いた非接触バイタルサイン計測のための不規則な体動除去法
松島 智哉; 桐本 哲郎; 孫光鎬
Poster presentation, Japanese, 第58回 日本生体医工学会大会
2019 - 乱数生成課題時の自律神経応答のロジスティック回帰分析を用いた年代別うつ病スクリーニング法の開発
林原 史明; 松井 岳巳; 榛葉 俊一; 孫光鎬; 仮屋 暢聡
Poster presentation, Japanese, 第58回 日本生体医工学会大会
2019 - 抗うつ薬未服用患者を対象とした乱数生成課題時の自律神経応答を用いた年代別うつ病スクリーニング法の開発
林原 史明; 松井 岳巳; 榛葉 俊一; 孫光鎬; 仮屋 暢聡
Oral presentation, Japanese, 第115回日本精神神経学会学術総会
2019 - 心拍変動(ＨＲＶ)指標のロジスティック判別分析による客観的うつ病診断
孫光鎬; 松井岳巳; 榛葉俊一; 仮屋暢聡
Public symposium, Japanese, 第115回日本精神神経学会学術総会/精神科診療における自律神経活動評価：心拍変動計測の現状と展望（シンポジウム）
2019 - Multiple Sensor Fusion Technology for Non-contact Measurement of Vital Signs and its Clinical Applications
Guanghao Sun
Oral presentation, English, Hanoi Medical University Hospital Workshop, Invited
2019 - 非接触式生命体征监测技术以及其临床医学应用
Guanghao Sun
Oral presentation, Chinese, The First Eastern International Health & Rehabilitation Summit, Invited, International conference
2019 - 非接触バイタルサインセンシング技術とその医療応用
孫光鎬; 松井岳巳; 桐本哲郎
Invited oral presentation, Japanese, 電子情報通信学会大会, Invited
2018 - Vital Sign Acquisition in the National Hospital of Tropical Diseases of Hanoi.
Guanghao Sun
Oral presentation, English, The 4th UEC Seminar in ASEAN
2018 - 単一ドップラーライダのための自己組織化マップを用いた後方乱気流検出法
芦川僚太; 孫光鎬; 桐本哲郎
Oral presentation, Japanese, 電子情報通信学会大会
2018 - 2017年夏・ベトナム・デング熱アウトブレークの感染症スクリーニングシステムを用いたスクリーニング報告
小山貴大; 松井岳巳; 孫光鎬; NV Trung; 石橋孝一郎; 桐本哲郎; 古川 浩規; LT Hoi; NN Huyen; Q Nguyen; 阿部重人; 箱崎幸也; NV Kinh
Oral presentation, Japanese, 第23回日本集団災害医学会・学術集会
2018 - 医療従事者との協働を目指した非接触・感染症スクリーニングロボットの開発
淺野稜平; 松井岳巳; 孫光鎬; 益田俊樹
Oral presentation, Japanese, 第23回日本集団災害医学会・学術集会
2018 - PPG とドップラーレーダを用いた収縮期血圧のカフレス連続測定
大畠知之; 石橋孝一郎; 孫光鎬
Oral presentation, Japanese, 第57回 日本生体医工学会大会, Domestic conference
2018 - 非接触COPD(慢性閉塞性肺疾患)スクリーニングシステムの開発
高本裕紀; 孫光鎬; 佐藤正平; 西根広樹; 松 井岳巳; 峯下昌道
Oral presentation, Japanese, 第57回 日本生体医工学会大会, Domestic conference
2018 - 小型レーダーを用いた非接触計測による高齢者の超早期肺炎スクリーニング法の開発と臨床応用
平野雅也; 松尾太郎; 中村凜; 渡辺貞雄; 橋爪絢子; 孫光鎬; 廣田宗司; 中村大 輔; 箱崎幸也; 松井岳巳
Oral presentation, Japanese, 第57回 日本生体医工学会大会, Domestic conference
2018 - 感染症スクリーニングのためのCCD カメラとサーモグラフィを併用した非接触かつ高精度バイタルサイン計測
根岸寿明; 孫光鎬; 桐本哲郎; 佐藤正平; 松井岳巳
Oral presentation, Japanese, 第57回 日本生体医工学会大会, Domestic conference
2018 - AR 次数最適化アルゴリズムを用いた LF と HF の 2 峰性スペクトル導出法 ─神経調整性失神患者のヘッドアップティルト検査への適応─
孫光鎬; 橋本賢一; 松井岳巳; 高瀬凡平
Oral presentation, Japanese, 第28回体表心臓微小電位研究会, Domestic conference
2018 - サポートベクターマシンを用いた精神負荷と呼吸統制時の心拍変動による精神疾患患者のスクリーニング法の開発
小林茉以; 孫光鎬; 榛葉俊一; 松井岳巳; 桐本哲郎
Oral presentation, Japanese, 計測自動制御学会・ライフエンジニアリング 部分シンポジウム, Domestic conference
2018 - マイクロ波レーダなどの生体センサを用いた非接触バイタルサイン計測技術とその医療応用
孫光鎬
Oral presentation, Japanese, 第12回UECアライアンスセンターICTワークショップ, Domestic conference
2018 - 非接触バイタルサイン計測技術による健康モニタリング
孫光鎬; 桐本哲郎
Oral presentation, Japanese, 第９回横幹連合コンファレンス
2018 - うつ病と不安障害は異なる心拍変動異常所見を呈する
榛葉俊一; 松井岳巳; 孫光鎬; 仮屋暢聡
Oral presentation, Japanese, 第114回日本精神神経学会学術総会
2018 - ニューラルネットワークを用いたHRV解析によるうつ病判定
松尾 太郎; 孫 光鎬; 榛葉 俊一; 桐本 哲郎
Oral presentation, Japanese, 第56回 日本生体医工学会大会, Domestic conference
2017 - 呼吸統制時と精神負荷時の心拍変動解析による客観的うつ病スクリーニングシステム
小林 茉以; 孫 光鎬; 榛葉 俊一; 松井 岳巳; 桐本 哲郎
Oral presentation, Japanese, 第56回 日本生体医工学会大会, Domestic conference
2017 - ドップラーレーダを用いた時間領域ピーク検出アルゴリズムによる呼吸と心拍の非接触測定
楊小鳳; 孫光鎬; 石橋孝一郎
Oral presentation, Japanese, 第56回 日本生体医工学会大会, Domestic conference
2017 - 相互相関出力を事前情報に用いた階層ベイズ圧縮センシングによる到来時間推定法の実験的検討
茂呂 彰; 孫 光鎬; 桐本哲郎
Oral presentation, Japanese, 電子情報通信学会総合大会, Domestic conference
2017 - 円形軌道合成開口レーダ画像の高速レイオーバ歪み補償法
中村太一; 孫 光鎬; 桐本哲郎
Oral presentation, Japanese, 電子情報通信学会総合大会
2017 - サンプリングシフトを用いた圧縮センシングによる高精度到来方向推定法
星 龍樹; 桐本哲郎; 孫 光鎬
Oral presentation, Japanese, 電子情報通信学会総合大会, Domestic conference
2017 - CMOSカメラ搭載したサーモグラフィを用いた非接触バイタルサイン測定による季節性インフルエンザの検出
ダグダンプレブ スミヤクハンド; 孫 光鎬; 阿部 重人; 松井 岳巳
Oral presentation, Japanese, 第56回 日本生体医工学会大会, Domestic conference
2017 - 心拍変動と脳血流計測によるうつスクリーニングシステムの開発～二種の精神負荷課題併用アルゴリズム～
熊澤 良太; 前田 崇斗; 榛葉 俊一; 孫 光鎬; 橋爪 絢子; 松井 岳巳
Oral presentation, Japanese, 第56回 日本生体医工学会大会, Domestic conference
2017 - 乱数生成課題時の自律神経応答を用いた高精度うつ病スクリーニング システムの開発
熊澤良太; 榛葉俊一; 孫光鎬; 橋爪絢子; 松井岳巳
Oral presentation, Japanese, 第33回日本ストレス学会学術総会, Domestic conference
2017 - 乱数課題時のランダム性ロジスティック分析によるうつ病スクリーニングシステムの開発
大瀧伸吾; 仮屋暢聡; 榛葉俊一; 松田小織; 孫光鎬; 橋爪絢子; 松井岳巳
Oral presentation, Japanese, 第33回日本ストレス学会学術総会, Domestic conference
2017 - 赤外線・RGB顔画像から非接触心拍と呼吸計測
孫 光鎬
Public discourse, Japanese, 電気通信大学 新技術説明会, Domestic conference
2017 - IoT Sensor technologies and Applications in ASEAN Region
Koichiro Ishibashi; Tran Ngoc Thinh; Guanghao Sun
Oral presentation, English, IUUWS2017, International conference
2017 - 赤外線・RGB顔画像から非接触心拍・呼吸計測と感染症検出への応用
孫光鎬
Oral presentation, Japanese, UEC第１３回産学官連携DAY, Domestic conference
2017 - 心拍数変動指標を用いた高精度うつ病スクリーニング法の開発 ―2 種の精神負荷課題を併用した判定アルゴリズム―
松井岳巳; 榛葉俊一; 孫光鎬
Oral presentation, Japanese, 日本ホルター・ノンインベイシブ心電学研究会, Domestic conference
2017 - デュアルレーダを用いた仰臥位における非接触なバイタルサイン計測のための最適位置の実験的検討
石川輝; 孫光鎬; 桐本哲郎
Oral presentation, Japanese, 第60回自動制御連合講演会, Domestic conference
2017 - IoT SENSOR TECHNOLOGIES TO ADDRESS ISSUES OF ASEAN REGION
Koichiro Ishibashi; Tran Ngoc Thinh; Guanghao Sun
Keynote oral presentation, English, RCCIE2017 (Regional Conference on Computer and Information Engineering)
2017 - 動物用ハンディタイプTPR（体温・心拍数・呼吸数）同時測定システムの開発と精度検証
窪田泰斗; 孫光鎬; 唐澤薫; 松田浩珍; 松井岳巳
Oral presentation, Japanese, 第46回人間工学会関東支部大会, Domestic conference
2016 - 非接触バイタルサイン計測技術による革新的な医用機器の実用化研究・開発
孫光鎬
Invited oral presentation, Japanese, 第23回地域イノベ・医療イノベーションフォーラム, Domestic conference
2016 - 単一ドップラーライダのためのニューラルネットワークを用いたパラメトリック風速ベクトル推定法
松尾太郎; 孫 光鎬; 桐本哲郎; 酒巻 洋; 原 照幸
Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
2016 - 赤外線・可視画像処理技術を応用した非接触バイタルサイン計測による高精度感染症有症者検出
孫光鎬; 中山陽介; 松井岳巳; 阿部重人; 桐本哲郎
Oral presentation, Japanese, 電子情報通信学会ソサイエティ大会, Domestic conference
2016 - 光電式脈波センサーを用いたHRV解析によるうつ病スクリーニングシステムの開発および計測精度の検証
小林茉以; 孫光鎬; 榛葉俊一; 松井岳巳; 桐本哲郎
Poster presentation, Japanese, 生体医工学シンポジウム, Domestic conference
2016 - ドップラーレーダーとArduinoによるローコスト・小型非接触心拍・呼吸計測システムの開発
楊小鳳; 石橋孝一郎; 孫光鎬
Poster presentation, Japanese, 生体医工学シンポジウム, Domestic conference
2016 - スマートフォンの内蔵カメラを用いたノンインベイシブな脈波計測と心拍変動解析法
孫光鎬; 木戸秀和; 松井岳巳
Oral presentation, Japanese, 第36回 日本ホルター・ノンインベイシブ心電学研究会, Domestic conference
2016 - 熱画像及び呼吸循環指標の非接触計測と解析による感染症患者の重症度スクリーニングに関する検討
孫光鎬; 松井岳巳
Oral presentation, Japanese, 第26回体表心臓微小電位研究会, Domestic conference
2016 - HRV算出用自己回帰モデル次数最適化手法の提案～非接触心拍計測法による体位変換時自律神経応答解析への応用～
孫光鎬; 松井岳巳; 橋本賢一; 高瀬凡平
Oral presentation, Japanese, 第13回心電図伝送システム研究会, Domestic conference
2016 - 非接触バイタルサイン計測技術を用いた検疫における感染症発症者の検知
孫光鎬
Oral presentation, Japanese, 第53回 生体信号計測・解釈研究会
2015 - スマートフォンを脈波センサとして用いた心拍変動指標計測によるうつ傾向判定アプリケーションの開発
木戸秀和; 孫光鎬; 馬場哲晃; 榛葉俊一; 松井岳巳
Poster presentation, Japanese, 生体医工学シンポジウム 2015
2015 - 自衛隊中央病院における過去4年間の感染症スクリーニングシステムにより季節性インフルエンザ検出に関する検討
孫光鎬; 箱崎幸也; 松井岳巳
Poster presentation, Japanese, 第20回日本集団災害医学会総会 2015
2015 - 精神負荷に対する心拍変動（HRV）指標の多変量判別分析によるうつ病診断
孫光鎬; 松井岳巳; 木戸秀和; 榛葉俊一
Poster presentation, Japanese, 生体医工学シンポジウム 2015, Domestic conference
2015 - 自己組織化ニューラルネットワークを用いたバイタルサインデータ解析による インフルエンザの重症度判定
孫光鎬; 箱崎幸也; 阿部重人; 松井岳巳
Poster presentation, Japanese, 第54回 日本生体医工学会大会
2015 - 精神負荷心拍変動(ＨＲＶ)指標のロジスティック判別分析によるうつ病診断
孫光鎬; 榛葉俊一; 松井岳巳
Poster presentation, Japanese, 第25回体表心臓微小電位研究会
2015 - マイクロ波レーダーを用いた在宅健康モニタリングのための自律移動型ロボットの開発
祁暁龍; 孫光鎬; 松岡歩; 兪文偉; 松井岳巳
Oral presentation, Japanese, 日本人間工学会関東支部第44回大会
2014 - 非接触感染症スクリーニングシステムの顔表面温度の計測精度向上におけるOpening処理を用いた熱画像の背景除去
宮田圭輔; 孫光鎬; 池上眞由美; 大島譲二; 松井岳巳
Poster presentation, Japanese, 生体医工学シンポジウム 2014
2014 - 非接触バイタルサイン計測技術を活用した高精度・迅速感染症スクリーニングシステムの実用化開発
孫光鎬; 松岡歩; 宮田圭輔; Nguyen Quang Vinh; Chris Chen; 上田晶子; 箱崎幸也; 阿部重人; 金石振; 武居修; 松井岳巳
Oral presentation, Japanese, 第53回日本生体医工学会大会
2014 - 非接触感染症スクリーニングのための逆正接復調による呼吸数測定精度向上とその臨床応用
松岡歩; 孫光鎬; 箱崎幸也; 松井岳巳
Poster presentation, Japanese, 第19回日本集団災害医学会総会・学術集会
2014 - 非侵襲・迅速感染症スクリーニングシステムにおける経皮的酸素飽和度測定の有用性についての検討
孫光鎬; 箱崎幸也; 阿部重人; 松井岳巳
Oral presentation, Japanese, 第19回日本集団災害医学会総会・学術集会
2014 - マイクロ波レーダーとスマートフォンを用いた在宅ヘルスケアのための非接触型バイタルサイン計測システムの開発
孫光鎬; 松井岳巳
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会
2014 - 日常生活における健康管理のため無拘束・非接触型生体情報計測システムの開発に関する研究
孫光鎬; 松井岳巳; 後藤真二
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会
2013 - 感染症スクリーニング精度向上のための逆正接復調による非接触呼吸数測定
松岡歩; 孫光鎬; 松井岳巳
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会
2013 - 熱画像に呼吸循環指標を併用した迅速スクリーニングシステムによる季節性インフルエンザ検出に関する検討
孫光鎬; 阿部重人; 阿部信次郎
Poster presentation, Japanese, 感染症学雑誌
2013
Courses
- 機械知能システム学専攻基礎
The University of Electro-Communications - Fundamental of Mechanical and Intelligent Systems Engineering
The University of Electro-Communications - 機械知能システム学専攻基礎
電気通信大学 - 大学院技術英語
The University of Electro-Communications - 大学院技術英語
電気通信大学 - 学域特別講義B（融合領域の最新動向B）
The University of Electro-Communications - 学域特別講義B（融合領域の最新動向B）
電気通信大学 - 知能機械工学実験
The University of Electro-Communications - 知能機械工学実験
電気通信大学 - 基礎科学実験A
The University of Electro-Communications - 専門実験Ｂ（ＥＭＣ）
The University of Electro-Communications - 基礎科学実験A
The University of Electro-Communications - リアルタイム制御系設計基礎論
The University of Electro-Communications - リアルタイム制御系設計基礎論
電気通信大学 - Physics Laboratory
The University of Electro-Communications - 基礎科学実験A
電気通信大学 - Advanced Experiments B
The University of Electro-Communications - 専門実験Ｂ（ＥＭＣ）
電気通信大学
Affiliated academic society
Research Themes
- 実験小動物用非接触バイタルセンシング技術の研究
Principal investigator
Apr. 2023 - Mar. 2026 - 小児用非接触型バイタルサインモニタに関する研究開発
公益財団法人 テルモ生命科学振興財団
Dec. 2023 - Mar. 2025 - マイクロ波レーダーを用いた非侵襲による肺動脈圧変動の連続推定
2022 - 2025 - マルチ生体センサの機能的な融合による新型感染症検疫システムの実用化に関する研究
Guanghao Sun
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Scientific Research (B), Principal investigator, A novel infection screening system was developed for detecting patients with suspected infectious disease. The system was combined with optical and millimeter-wave senors to non-contact measurement of respiration rate, heart rate, body temperature, and blood oxygen saturation. In this study, we designed the prototype of the system; developed digital signal processing methods for measuring multiple vital signs and machine learning based algorithm to discriminate infected patients. The multiple vital-signs-based approach to infection screening could present a solution to outperform conventional fever-based screening., 19H02385
01 Apr. 2019 - 31 Mar. 2022 - マイクロ波レーダーを用いた単一センサでの非接触血圧変動推定と健康管理への応用
SUZUKI Satoshi
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Kansai University, Grant-in-Aid for Scientific Research (C), This study aimed to develop a method for estimating relative change in blood pressure by noncontact measurements using a single microwave sensor. First, theoretical considerations of an estimation method based on noncontact measurements were carried out to develop two estimation formulas. Next, based on the results, a prototype system using a single microwave sensor was developed. To verify both estimation formulas and the prototype system, an in vitro experimental system was developed in which a verification experiment was conducted. Then, in vivo experiments were performed with the cooperation of the participants to verify the two estimation formulas and prototype system. Through these validation experiments using the prototype system and our developed estimation theory, we achieved positive results regarding the estimation of relative change in blood pressure in the optimal blood pressure range., 19K12884
01 Apr. 2019 - 31 Mar. 2022 - 非接触バイタルサイン計測技術の研究開発と新生児集中治療室(NICU)での応用
鈴木謙三記念医科学応用研究財団
Nov. 2021 - 非接触方式による肺活量計測アルゴリズム開発
Principal investigator, Domestic joint research
2021 - 実験動物の非侵襲的バイタルセンシング
Principal investigator, Domestic joint research
2021 - Combine Non-Contact Vital Sign Sensing Technology and AI for Rapid Detection of Higher-Risk Dengue Fever Patients
公益財団法人大川情報通信基金, 研究助成
Oct. 2019 - Oct. 2020 - 非侵襲バイタルセンシング技術に関する共同研究
Principal investigator, Domestic joint research
2020 - 大規模な生体情報データ計測に基づくリアルタイム感染症サーベイランスシステムの開発
孫光鎬
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Young Scientists (B), Principal investigator, Fever-based screening method has been adopted to identify potentially infected individuals using thermography. However, some studies indicate that fever-based screening at early-stages of infectious diseases is limited due to many factors that can affect thermographic measurements, such as antifebrile intake. We propose an infection screening system that can rapidly and accurately perform medical inspections. Heart and respiration rates are determined using a medical radar by noncontact way, and body temperature is monitored by thermography. By using these three parameters, the detection accuracy of the system improved comparing to conventional screening method. In this study, to further improve screening performance, one of the most promising approaches is to connect multiple infection screening systems, which enables information sharing between different systems. This will allow us to apply big data analysis techniques, which can be used to predict outbreaks of infectious diseases., 16K16363
01 Apr. 2016 - 31 Mar. 2019 - ニューラルネットワークを用いた完全非接触-感染症・熱中症スクリーニングシステム
Matsui Takemi
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Tokyo Metropolitan University, Grant-in-Aid for Scientific Research (C), We conducted a research aiming to develop non-contact infection screening system and executed its performance evaluation. We developed a portable and a desktop type systems which measure respiration rate, body temperature and heart rate. By pressing photoplethysmographic sensor of the portable system to patient's carotid artery, it measures heart rate, its integrated infrared thermometer measures body surface temperature, and 24GHz Doppler radar measures respiration rate. We evaluated the performances at general clinic and elderly care type hospital. Our system could measure the vital signs within 10 seconds and discriminated infected and non-infected using machine learning algorithm. Moreover, we enabled automatic screening after we conducted clinical trials with influenza patients and pediatric pneumonia patients in Mongolia and Japan., 16K01365
01 Apr. 2016 - 31 Mar. 2019 - マイクロ波を用いた非接触による血圧変動推定方法の開発
SUZUKI Satoshi
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Kansai University, Grant-in-Aid for Scientific Research (B), In the present study, we aimed to develop a method for estimating the relative change in blood pressure by non-contact measurements using microwaves. At first, theoretical consideration of a method for estimating the blood pressure dedicated to non-contact monitoring using microwaves was initially conducted. To confirm the effectiveness of this new method, the prototype system for verification was subsequently created and then verified in laboratory experiments. Furthermore, to accumulate clinical knowledge and determine current issues associated with this method, clinical trials including patients with heart failure were planned. We achieved positive results through validation experiments using the prototype system implementing our developed estimation theory. Unfortunately, the clinical trials were not possible because the safety of patients with heart failure could not be ensured sufficiently. The clinical trials remain as a future task., 16H03215
01 Apr. 2016 - 31 Mar. 2019 - Development of non-contact sensor system for infectious diseases
Principal investigator, International joint research
2018 - The rapid screening of outpatients with suspected infection in National Hospital of Tropical Diseases of Vietnam using a multiple vital-sign based infection screening system
Prof. Nguyen Van Kinh
National Hospital of Tropical Diseases of Vietnam, Principal investigator
2017 - ミリ波レーダーを用いた生体センシングに関する研究
Coinvestigator, Domestic joint research
2017 - 自己組織化マップを用いた迅速・高信頼性感染症スクリーニングシステムの構築
孫 光鎬
日本学術振興会, 科学研究費助成事業, 首都大学東京, 特別研究員奨励費, 本研究では、検疫における新興・再興感染症の高精度の検出とその流行予防のため、迅速・高信頼性感染症スクリーニングシステムの構築を目的とする。平成２７年度は、多様な年齢層・国籍・性別・感染症などに対するデータ収集を目的とし、感染症が多発しているベトナムにおいて、データ収集を予定していた。しかし、研究代表者の就職により、本年度計画のうち半年での辞退となったため、当初予定していた研究計画の一部の実施を変更した。 具体的に、多様な年齢層・国籍・性別・感染症のデータを収集するため、外国からの渡航者も訪れる日本医科大学成田国際空港クリニックと共同研究を行い、感染症スクリーニングシステムの実地運用をした。多様な感染症に対し、システムの検出精度の評価を行った。, 13J05344
01 Apr. 2013 - 31 Mar. 2016 - 非接触バイタルサイン計測技術を応用した介護施設等における健康見守りモニタリングシステムの開発
Principal investigator, Domestic joint research
2016 - 2016 - 圧電センサとマイクロ波レーダを併用した非接触呼吸・心拍計測精度の向上に関する研究
Principal investigator, Domestic joint research
2015 - 2016 - 高齢者の体動及び呼吸から疾病を検知/推測する技術の共同研究
Principal investigator, Domestic joint research
2016
Industrial Property Rights
- 胸郭運動計測装置及び胸郭運動計測プログラム
Patent right, 特願2022-101269, Date applied: Jun. 2022 - 実験動物バイタルサイン計測システム
Patent right, 特願2022-065657, Date applied: Apr. 2022 - 心拍・呼吸計測システム及び心拍・呼吸計測方法
Patent right, 孫 光鎬, 石橋 孝一郎, 楊 小鳳, 特願2017-133376, Date applied: 07 Jul. 2017, 国立大学法人電気通信大学, 特開2019-013479, Date announced: 31 Jan. 2019, 特許第6963293号, Date registered: 19 Oct. 2021 - 自律移動ロボット及びバイタルサインモニタリング方法
Patent right, 兪 文偉, 松井 岳巳, 孫 光鎬, ネブレズ イマモル, 特願2019-112416, Date applied: 18 Jun. 2019, 国立大学法人千葉大学, 東京都公立大学法人, 特開2019-155144, Date announced: 19 Sep. 2019, 特許第6823327号, Date registered: 13 Jan. 2021 - 非接触バイタルサイン計測装置、非接触バイタルサイン計測方法およびプログラム
Patent right, 孫 光鎬, 松島 智哉, 桐本 哲郎, 特願2019-104201, Date applied: 04 Jun. 2019, 国立大学法人電気通信大学, 特開2020-195647, Date announced: 10 Dec. 2020 - 呼吸器系疾患判別装置
Patent right, 松井 岳巳, 高本 裕紀, 孫 光鎬, 特願2018-234811, Date applied: 14 Dec. 2018, 東京都公立大学法人, 特開2020-092980, Date announced: 18 Jun. 2020 - 生体信号成分検出装置、生体信号成分検出方法および記録媒体
Patent right, 孫 光鎬, 小林 茉以, 桐本 哲郎, 特願2019-091106, Date applied: 14 May 2019, 国立大学法人電気通信大学, 特開2020-039855, Date announced: 19 Mar. 2020 - 呼吸器系疾患判別装置
Patent right, 特開2020-92980, Date applied: 2020 - 精神状態判定方法及び精神状態判定プログラム
Patent right, 松井 岳巳, 孫 光鎬, 特願2016-035743, Date applied: 26 Feb. 2016, 公立大学法人首都大学東京, 特開2016-163698, Date announced: 08 Sep. 2016, 特許第6635507号, Date registered: 27 Dec. 2019 - 自律移動ロボット及びバイタルサインモニタリング方法
Patent right, 兪 文偉, 松井 岳巳, 孫 光鎬, ネブレズ イマモル, 特願2019-112416, Date applied: 18 Jun. 2019, 公立大学法人首都大学東京, 特開2019-155144, Date announced: 19 Sep. 2019 - 心拍・呼吸計測システム及び心拍・呼吸計測方法
Patent right, 孫 光鎬, 石橋 孝一郎, 楊 小鳳, 特願2017-133376, Date applied: 07 Jul. 2017, 国立大学法人電気通信大学, 特開2019-013479, Date announced: 31 Jan. 2019 - 非接触バイタルサイン計測装置、非接触バイタルサイン計測方法およびプログラム
Patent right, 孫 光鎬, 松島智哉, 桐本哲郎, 特願2019-104201, Date applied: 2019 - 症状判別装置
Patent right, 松井 岳巳, 孫 光鎬, 阿部 重人, 特願2013-248816, Date applied: 02 Dec. 2013, 公立大学法人首都大学東京, 特開2015-104596, Date announced: 08 Jun. 2015, 特許第6300264号, Date registered: 09 Mar. 2018 - 生体信号成分検出装置、検出方法および記録媒体
Patent right, 特願2018-168053, Date applied: 2018 - 心拍・呼吸計測システム及び心拍・呼吸計測方法
Patent right, 特願2017-133367, Date applied: 2017 - 精神状態判定方法及び精神状態判定プログラム
Patent right, 松井 岳巳, 孫 光鎬, 特願2016-035743, Date applied: 26 Feb. 2016, 公立大学法人首都大学東京, 特開2016-163698, Date announced: 08 Sep. 2016 - 自律移動ロボット及びバイタルサインモニタリング方法
Patent right, 兪 文偉, 松井 岳巳, 孫 光鎬, ネブレズ イマモル, 特願2014-202605, Date applied: 30 Sep. 2014, 国立大学法人 千葉大学, 公立大学法人首都大学東京, 特開2016-067773, Date announced: 09 May 2016 - 体調モニタリング装置
Patent right, 松井 岳巳, 孫 光鎬, 武居 修, JP2014071688, Date applied: 19 Aug. 2014, 公立大学法人首都大学東京, WO2015-125322, Date published: 27 Aug. 2015 - 症状判別装置
Patent right, 松井 岳巳, 孫 光鎬, 阿部 重人, 特願2013-248816, Date applied: 02 Dec. 2013, 公立大学法人首都大学東京, 特開2015-104596, Date announced: 08 Jun. 2015 - 症状判別装置
Patent right, 松井岳巳, 孫光鎬, 阿部重人, 特開2015-104596, Date applied: Jun. 2015 - 精神状態判定方法及び精神状態判定プログラム
Patent right, 松井岳巳, 孫光鎬, 特願2015-037820, Date applied: Feb. 2015 - 自律移動ロボット及びバイタルサインモニタリング方法
Patent right, 兪 文偉, 松井岳巳, 孫光鎬, ネブレズ イマモル, 特願2014-202605, Date applied: Oct. 2014 - 体調モニタリング装置
Patent right, 松井岳巳, 孫光鎬, 武居修, 特願2014-29868, Date applied: Aug. 2014
Social Contribution Activities
Media Coverage
- 心拍変動までを測定可能とする非接触型バイタルサイン・モニタリングシステム
電子情報通信学会誌ニュース解説, Pr
Apr. 2023 - 医療レーダーを使い非接触で子供の体調チェック
子供の科学, Paper
Feb. 2023 - ""感染症患者 画像で判別""
日経産業新聞, Paper
May 2018 - デング熱、その場で判別 電通大、精度90％超のシステム開発
日刊工業新聞, Paper
Dec. 2017 - 非接触バイオセンシングによる感染症スクリーニング
Medtec Japan Online, Others
Jun. 2017 - 感染症、AIで即時特定
日刊工業新聞, Paper
Feb. 2017 - 未来の起源
TBSテレビ, Media report
Aug. 2014
Academic Contribution Activities
- 学術雑誌関係（編集委員など） Sensors
Others, 2020, Topic Editor - 学術雑誌関係（編集委員など） Signals
Others, 2020, Editor - 2020 International Conference On Advanced Technologies For Communications
Academic society etc, Others, 2020 - The 3rd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom2019)
Academic society etc, Others, Mar. 2019 - 国際協力事業等 The 5th UEC Seminar in ASEAN
Others, 2019, The 5th UEC Seminar in ASEAN, True - 国際協力事業等 The HanoiUs-UEC Global Alliance Laboratory (GAL)
Others, 2019, The HanoiUs-UEC Global Alliance Laboratory (GAL), True - 学術雑誌関係（編集委員など） Journal of Sensors
Others, 2017 - 2017, Guest Editor - The rapid screening of outpatients with suspected infection in National Hospital of Tropical Diseases of Vietnam using a multiple vital-sign based infection screening system
Others, Others, 2017, Vietnam - 学術雑誌関係（編集委員など） Frontiers in Physiology
Others
