Paper Abstract and Keywords |
Presentation |
2016-01-29 10:50
[Invited Talk]
Development of a Wearable Heart-Rate Variability Sensor and Apprication to Clinical and Health Care
-- Prediction of Epileptic Seizures and Drowsy Driving Accidents -- Toshitaka Yamakawa (Kumamoto Univ.) MoNA2015-47 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Heart rate variability (HRV) reflects autonomic nerve activity and provides beneficial information for both clinical and healthcare diagnoses. A telemetry system for the measurement of HRV has been developed with a low-cost manufacturing process and a low-power consumption design. All the components and functions for the measurement were implemented on a wearable telemeter which has a function for automated calibration of various ECG amplitudes among the subjects, and the obtained data is stored into a smartphone via a Bluetooth wireless transmission. The measurement accuracy and reliability of the system are reviewed in this talk, and the preliminary results of the application to the clinical and healthcare purposes: the prediction of epileptic seizures and drowsy driving are explained. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Wearable Sensor / Heart Rate Variability / Multivariate Statistical Process Control / Epilepsy / Drowsy Driving / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 436, MoNA2015-47, pp. 43-43, Jan. 2016. |
Paper # |
MoNA2015-47 |
Date of Issue |
2016-01-21 (MoNA) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
MoNA2015-47 |
Conference Information |
Committee |
MICT ASN MoNA |
Conference Date |
2016-01-28 - 2016-01-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hotel Okada |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Ambient intelligence, ICT for Medical, Healthcare and Sports, etc |
Paper Information |
Registration To |
MoNA |
Conference Code |
2016-01-MICT-ASN-MoNA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Development of a Wearable Heart-Rate Variability Sensor and Apprication to Clinical and Health Care |
Sub Title (in English) |
Prediction of Epileptic Seizures and Drowsy Driving Accidents |
Keyword(1) |
Wearable Sensor |
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Heart Rate Variability |
Keyword(3) |
Multivariate Statistical Process Control |
Keyword(4) |
Epilepsy |
Keyword(5) |
Drowsy Driving |
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1st Author's Name |
Toshitaka Yamakawa |
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Kumamoto University (Kumamoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-01-29 10:50:00 |
Presentation Time |
50 minutes |
Registration for |
MoNA |
Paper # |
MoNA2015-47 |
Volume (vol) |
vol.115 |
Number (no) |
no.436 |
Page |
p.43 |
#Pages |
1 |
Date of Issue |
2016-01-21 (MoNA) |
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