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Paper Abstract and Keywords
Presentation 2015-07-31 09:25
Heartbeat Detection with Doppler Sensor Using Adaptive Scale Factor Selection on Learning
Eriko Mogi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-52
Abstract (in Japanese) (See Japanese page) 
(in English) Heart rate variability gives information about health and mental condition. Noncontact detection of heartbeat using Doppler sensor has been researched in many studies. There is a major issue which is how to reduce the influence of body movement. A conventional algorithm uses the continuous wavelet transform. To extract heartbeat, a constant scale factor is selected during a learning phase which is then used to detect heartbeat during a test phase. However, to select the scale factor, the authors do not consider the difference of heart rate between learning and test. Thus, the root mean square error (RMSE) of R-R interval which represents the peak-to-peak of heartbeat is deteriorated. In this paper, we propose a method to improve the RMSE of R-R interval compared with the conventional one. During learning, we search for a scale factor interval corresponding to the heart rate obtained with the Doppler sensor. To take the difference of heart rate between learning and test into consideration, we extend the scale factor interval depending on the action during test. After we select a certain scale factor from some scale factors in the extended interval, we detect heart rate during test by counting the peaks of wavelet coefficients of the selected scale factor. Through experiments, when a subject is sitting still or doing a typing game, we show that the RMSE of R-R interval is improved by about 60 msec and 65 msec, respectively, compared with the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Doppler sensor / heartbeat detection / wavelet transform / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 162, ASN2015-52, pp. 183-188, July 2015.
Paper # ASN2015-52 
Date of Issue 2015-07-22 (ASN) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
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Conference Information
Committee RCC ASN RCS NS SR  
Conference Date 2015-07-29 - 2015-07-31 
Place (in Japanese) (See Japanese page) 
Place (in English) JA Naganoken Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, M2M: Machine-to-Machine, D2D (Device-to-Device),etc. 
Paper Information
Registration To ASN 
Conference Code 2015-07-RCC-ASN-RCS-NS-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Heartbeat Detection with Doppler Sensor Using Adaptive Scale Factor Selection on Learning 
Sub Title (in English)  
Keyword(1) Doppler sensor  
Keyword(2) heartbeat detection  
Keyword(3) wavelet transform  
1st Author's Name Eriko Mogi  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
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Date Time 2015-07-31 09:25:00 
Presentation Time 25 
Registration for ASN 
Paper # IEICE-ASN2015-52 
Volume (vol) IEICE-115 
Number (no) no.162 
Page pp.183-188 
#Pages IEICE-6 
Date of Issue IEICE-ASN-2015-07-22 

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