Mathematical model for the prediction of driver's health condition
| Project/Area Number |
18H01392
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 20010:Mechanics and mechatronics-related
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| Research Institution | Waseda University |
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Principal Investigator |
KANEKO SHIGEHIKO 早稲田大学, 理工学術院, 教授(任期付) (70143378)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥16,380,000 (Direct Cost: ¥12,600,000、Indirect Cost: ¥3,780,000)
Fiscal Year 2020: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2019: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2018: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000)
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| Keywords | モデル化 / 自動車 / 交通事故 / 居眠り運転 / 体調モニタリング / 生体信号処理 / 温熱環境 / 非侵襲計測 / 機械力学 / 数理モデル |
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| Outline of Final Research Achievements |
In this study, we integrated a model of the pumping flow from the heart and a model of the vascular system into a model that reproduces the effect of the activity state of the autonomic nerves on the heart system and a model of peripheral blood vessels, and combined them with a physiological and thermodynamic model. We proposed a model that can evaluate the correlation between changes in the thermal environment and changes in the autonomic nervous index by combining a thermoregulatory model of the human body based on the principle. In the experiment, we prototyped an experimental environment in which the heartbeat interval of the subject was acquired while changing the room temperature in a short time in a booth simulating the vehicle interior environment, and the change in the autonomic nervous index could be evaluated. An experiment was conducted to verify the validity of the proposed model.
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| Academic Significance and Societal Importance of the Research Achievements |
漫然運転や健康起因事故による交通事故が増加している昨今，ドライバーの居眠り及び体調急変の予測は国民的喫緊の課題である．最近，生体信号や画像による眠気の検知や覚醒状態維持が可能な眠気制御装置が発表されているが，その原理は明らかにされてはいない．また，運転者に体調急変が発生した際のデータは狙って取得できるものではないため，解析に用いるに十分なデータ数が確保できず，信頼性のある推定手法を構築することは難しい．そこで，数理モデルにもとづくシミュレータによって，信頼に足りるデータを提供することが求められている．以上を踏まえ，本研究ではドライバーの体調予測に資する数理モデルの構築を行った．
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Report
(4 results)
Research Products
(14 results)
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[Journal Article] Extraction of apex beat waveform from acoustic pulse wave by sound sensing system using stochastic resonance2021
Author(s)
Etsunori Fujita1, Masahiro Horikawa, Yoshika Nobuhiro, Shinichiro Maeda, Shigeyuki Kojima, Yumi Ogura, Kohji Murata, Tomohiko Kisaka, Kazushi Taoda, Shigehiko Kaneko, Masao Yoshizumi
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Journal Title
Nature Scientific Reports
Volume: 11
Pages: 13711-13711
DOI
Related Report
Peer Reviewed
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[Journal Article] Recurrent Probabilistic Neural Network-based Short-term Prediction for Acute Hypotension and Ventricular Fibrillation2020
Author(s)
Toshio Tsuji, Tomonori Nobukawa, Akihisa Mito, Harutoyo Hirano, Zu Soh, Ryota Inokuchi, Etsunori Fujita, Yumi Ogura, Shigehiko Kaneko, Ryuji Nakamura, Noboru Saeki, Masashi Kawamoto, and Masao Yoshizumi
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Journal Title
Nature Scientific Reports
Volume: 10
Pages: 11970-11970
DOI
Related Report
Peer Reviewed
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[Journal Article] Unconstrained Vital Sign Monitoring System Using an Aortic pulse Wave Sensor2019
Author(s)
Naoki Hagiyama, Harutoyo Hirano, Akihisa Mito, Zu Soh, Etsunori Fujita, Yumi Ogura, Shigehiko Kaneko, Ryuji Nakamura, Noboru Saeki, Masashi Kawamoto, Masao Yoshizumi and Toshio Tsuji
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Journal Title
Scientific Reports, Nature Research
Volume: 9:17475
Pages: 1-10
DOI
Related Report
Peer Reviewed / Open Access
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[Presentation] Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor2018
Author(s)
Naoki Hagiyama, Akihisa Mito, Harutoyo Hirano, Zu Soh, Etsunori Fujita, Yumi Ogura, Ryuichi Uchikawa, Shigehiko Kaneko, Ryuji Nakamura, Noboru Saeki, Masashi Kawamoto, Masao Yoshizumi and Toshio Tsuji
Organizer
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Related Report
Int'l Joint Research
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