Guanghao SUN
| Department of Mechanical and Intelligent Systems Engineering | Associate Professor |
| Cluster II (Emerging Multi-interdisciplinary Engineering) | Associate Professor |
| Department of Informatics | Associate Professor |
| Cluster I (Informatics and Computer Engineering) | Associate Professor |
| Center for Neuroscience and Biomedical 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 - Oct. 2020 - Present
The University of Electro-Communications, The Graduate School of Informatics and Engineering, Associate Professor - Apr. 2015 - Present
Tokyo Metropolitan University, Faculty of System Design, Visiting Research Fellow - 2015 - Present
The University of Electro-Communications, Center for Neuroscience and Biomedical Engineering, 准教授 - 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. 2013 - 31 Mar. 2015
Doctoral Course Students (DC1) of the Japan Society for the Promotion of Science (JSPS)
Educational Background
Member History
- May 2025 - Present
Editor, Thermal Technology and Artificial Intelligence in Health Informatics - 2018 - Present
Review Editor, Computational Physiology and Medicine Frontiers in Physiology - Oct. 2025
Technical Program Committees, The 24th International Symposium on Communications and Information Technologies (ISCIT 2025), Society - 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
- Contactless monitoring of respiratory rate variability in rats under anesthesia with a compact 24GHz microwave radar sensor
Guanghao Sun; Masaki Kurosawa; Yoshiki Ninomiya; Kohei Baba; Nguyen Huu Son; Hoang Thi Yen; Satoshi Suzuki; Yutaka Kano
Lead, Frontiers in Veterinary Science, Frontiers Media SA, 12, 26 Mar. 2025, Peer-reviwed, Objective
The objective of this study was to develop and validate a noncontact monitoring system for respiratory rate variability in rats under anesthesia using a 24GHz microwave radar sensor. This study aimed to address the need for stress-free monitoring techniques that comply with the 3Rs principle (Reduction, Replacement, and Refinement) in laboratory animal settings.
Methods
Utilizing a 24GHz microwave radar sensor, this system detects subtle body surface displacements induced by respiratory movements in anesthetized rats. The setup includes a 24.05 to 24.25 GHz radar module coupled with a single-board computer, specifically Raspberry Pi, for signal acquisition and processing. The experiment involved four male Wistar rats tracking the variability in their respiratory rates at various isoflurane anesthesia depths to compare the radar system’s performance with reference measurements.
Results
The radar system demonstrated high accuracy in respiratory rate monitoring, with a mean difference of 0.32 breaths per minute compared to laser references. The Pearson’s correlation coefficient was high (0.89, p < 0.05), indicating a strong linear relationship between the radar and reference measurements. The system also accurately reflected changes in respiratory rates corresponding to different isoflurane anesthesia levels. Variations in respiratory rates were effectively mapped across different anesthesia levels, confirming the reliability and precision of the system for real-time monitoring.
Conclusion
The microwave radar-based monitoring system significantly enhanced the animal welfare and research methodology. This system minimizes animal stress and improves the integrity of physiological data in research settings by providing a non-invasive, accurate, and reliable means of monitoring respiratory rates.
Scientific journal - 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
Last, Biomedical Physics & Engineering Express, 31 Jan. 2025, Peer-reviwed
Scientific journal - The development of a non-contact tachycardia and tachypnea monitoring system, a clinical trial on shock patients
Akito Saito; Shohei Sato; Tsuyoshi Kobayashi; Guanghao Sun; Kenichi Hashimoto; Yukiya Hakozaki; Takemi Matsui
Critical Care, Springer Science and Business Media LLC, 29, 1, 03 Jan. 2025, Peer-reviwed
Scientific journal - Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony
Masaru Mitsuya; Hiroki Nishine; Hiroshi Handa; Masamichi Mineshita; Masaki Kurosawa; Tetsuo Kirimoto; Shohei Sato; Takemi Matsui; Guanghao Sun
Last, Informatics in Medicine Unlocked, Jan. 2025, Peer-reviwed
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, Peer-reviwed, 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, Peer-reviwed
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, Peer-reviwed, 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
Last, 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, Peer-reviwed, 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
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 - 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
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
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
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
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
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
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
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 - 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, 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., -, 3PM-Abstract, 2847-2850, 13 Sep. 2017, Peer-reviwed
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
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, 55, 113-117, Feb. 2017, Peer-reviwed
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
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
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, 7, Nov. 2016, Peer-reviwed
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, 63, 5, 1025-1033, May 2016, Peer-reviwed
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), -, 444-445, 2016, Peer-reviwed
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, Article ID 9845816, 2016, Peer-reviwed
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, 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
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, 70, 3, 230-236, Mar. 2015, Peer-reviwed
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), -, 27-30, 2015, Peer-reviwed
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), in press, 127-128, 2015, Peer-reviwed
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), in press, 5985-5988, 2015, Peer-reviwed
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
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, 4, 6, 863-867, Dec. 2014, Peer-reviwed
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
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, 25, 56-58, Aug. 2014, Peer-reviwed
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, 42, 5, 551-553, May 2014, Peer-reviwed
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
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), 4811-4814, 2014, Peer-reviwed
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), -, 225-226, 2014, Peer-reviwed
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
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
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
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, 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), 37-39, 2012, Peer-reviwed
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
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, 35, 5, 855-861, Oct. 2011, Peer-reviwed
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, 258, 125-+, 2011, Peer-reviwed
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
International conference proceedings, English
MISC
- 連続波レーダによる非接触呼吸・心拍計測技術とその応用
孫光鎬; 黒沢正樹
Lead, Dec. 2024, 日本工業出版クリーンテクノロジー, Invited - 赤外線熱画像による非接触型バイタルセンシング技術
孫光鎬
Lead, Dec. 2024, 月刊BIO INDUSTRY, Invited, Introduction commerce magazine - An indoor human motion recognition system based on FMCW radar
黒沢 正樹; 桐本 哲郎; 孫 光鎬
Radar technology, particularly Frequency-Modulated Continuous Wave (FMCW) radar, has garnered attention in the field of smart home monitoring due to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics. This study proposed a human motion state recognition system to determine motion state based on the spectrums form radar signals in home environment. A target’s velocity is assessed via micro-Doppler signature, compare against a velocity threshold, while its height signature discerns between high and low postures against a height threshold. The target’s horizontal position is determined via the Range-Angle map. The proposed threshold algorithm defines the motion state on velocity, height postures and indoor position. Subsequently, the performance of the system was evaluated by conducting experiments on three subjects. The results show the effectiveness, achieving accuracy of approximately 90%., 公益社団法人 日本生体医工学会, 2024, 生体医工学, Annual62, Abstract, 197_1-197_1, Japanese, 1347-443X, 1881-4379 - 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 - 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
孫 光鎬
名古屋 : 鈴木謙三記念医科学応用研究財団, 2022, 医科学応用研究財団研究報告 / 鈴木謙三記念医科学応用研究財団 [編], 41, 164-168, Japanese, 0914-5117, AN10085550 - 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
- Applied Mathematics
Apr. 2025 - Present
The University of Electro-Communications - 機械知能システム学専攻基礎
Apr. 2022 - Present
The University of Electro-Communications - 医用システム工学
Oct. 2024
Tokyo Metropolitan University - 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
- Quantitative Analysis of the Effects of Indoor Environmental Dynamics on Aerosol Infection
石垣 陽; 藤田 直久; 喜多村 紘子; 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 Scientific Research (B), 25K01376
01 Apr. 2025 - 31 Mar. 2030 - 汎用ゲームを用いた新しい視能訓練法の国際共同研究
石垣 陽; 半田 知也; 岩田 遥; 孫 光鎬; 多々良 俊哉; 古川 浩規
日本学術振興会, 科学研究費助成事業, 電気通信大学, 国際共同研究加速基金(海外連携研究), 24KK0191
09 Sep. 2024 - 31 Mar. 2029 - 小児用非接触型バイタルサインモニタリングシステムの研究開発
金澤 建; 阿部 祥英; 孫 光鎬
日本学術振興会, 科学研究費助成事業, 昭和医科大学, 基盤研究(C), 25K14127
01 Apr. 2025 - 31 Mar. 2028 - Research on non-contact vital sign sensing technology for laboratory animals
孫 光鎬; 鈴木 哲; 狩野 豊
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Scientific Research (C), Principal investigator, 本研究では，3Rs (Reduction, Replacement, Refinement)理念の推進に貢献すべく，洗練された非接触バイタルサイン計測技術の開発により，最大限に動物の苦痛を減らすことを目的とする．小動物の呼吸と心拍由来のmmオーダーの微小な体表面の変位をマイクロ波レーダで計測し，新たな非接触型生体情報モニタリングシステムを実現する． 今年度の研究進捗として，ハードウェアの面では，24GHzマイクロ波レーダを採用し，信号取得のための処理基板を設計し，デジタル信号を収集するシングルボードコンピュータRaspberry Piから構成した．実験動物体表面変位が約ヒトの1/10で0.03～0.7mmであることから，2μm分解能のレーザを用いてイソフルラン麻酔下のラットを対象に，原理検証のためのプロトタイプを試作した．加えて，リファレンス用のレーザ，心電計と動脈カテーテルの導入を検討し，別体であった制御部を本体一体型とし，設置面積を低減，汎用性を向上させた装置を開発した．ソフトウェアの面では，実験動物の生体特徴から「超微小変位」・「呼吸・心拍数が速い」の技術課題を解決できる信号処理アルゴリズムを開発し，リアルタイムで瞬間呼吸数を算出することが可能となった．以上の研究成果を，国際論文誌1件や国内外の学会の研究発表を行う予定である．, 23K11301
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
鈴木 哲; 孫 光鎬; 星賀 正明
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Kansai University, Grant-in-Aid for Scientific Research (C), 本申請では，マイクロ波レーダーを用いた非侵襲での肺動脈圧変動の推定法の開発を目的としている．そのために，①非侵襲計測に基づく推定方法の理論的構築と推定式の開発，また，②血流・圧変動計測に適した仕様の非侵襲計測システムの試作，および検証のための③Vitro評価系の開発・検証実験と被験者による検証実験，さらに，実際の医療現場における心不全患者への適用による④臨床データ収集，の4点を検討する． 2022年度は，①理論構築と推定法の開発，②計測システム開発，③Vitro評価系の開発の3点を対象とし，一定の成果を得ることができた．そこで2023年度は，臨床評価の前準備のため，開発したVitro評価系の陰圧負荷装置を用いて試験を繰り返し実施し，推定法と計測システムの効果を確認した．陰圧負荷装置により，心臓へ還流する血液量をコントロールすることによって肺動脈圧低下を生じさせ，その間の肺動脈圧の変化を観察した．安全面を考慮し，一般的に行われる負荷量の半分程度としたことから，還流血液量の低下の効果が少なくなり，また個人差が大きく影響したが，結果としては良好な関係性を見出すことができた．したがって，2022度の理論構築や推定法の効果を確認できた． 一方で，予定していた陽圧負荷についてはその効果が見込まれず，また予定していたASV（Adaptive Servo Ventilation）装置の準備と使用については，その使用時の医療的な安全性の課題を克服できず，2023年度は血圧降下の場合のみの効果を確認した．, 22K12917
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
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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
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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
