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Paper Abstract and Keywords
Presentation 2018-08-09 14:10
[Invited Lecture] Sparse Adaptive Algorithms to Realize Non-contact Heartbeat Detection
Chen Ye, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.) SAT2018-34 RCS2018-137
Abstract (in Japanese) (See Japanese page) 
(in English) The development of non-contact monitoring technique has a great influence on the heartbeat monitoring, such as, for drivers and burned patients. In particular, the heartbeat detection with Doppler radar has drawn extensive attentions. However, since the heartbeat signal contained in received radar signals is quite weak, the detection accuracy obviously deteriorates in the presence of respiration and body motion. In this report, a robust heartbeat detection algorithm is proposed, based on the spectrum reconstruction method termed stochastic gradient. Through correcting the gradient of cost function constructed by recursion error, and utilizing the sparse characteristics of heartbeat spectrum, the weak heartbeat component is extracted by the reconstructed spectrum with minimum deviation. Furthermore, the proposed algorithm realizes more stable sparse spectrum reconstruction (SSR), by quantizing the updating of recursion error. Under the sitting still and typing with a laptop for five subjects, the proposed method is validated to improve the detection accuracies over the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-contact heartbeat detection / Doppler radar / sparse spectrum reconstruction (SSR) / stochastic gradient / adaptive filter / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 177, RCS2018-137, pp. 31-36, Aug. 2018.
Paper # RCS2018-137 
Date of Issue 2018-08-02 (SAT, RCS) 
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 SAT RCS  
Conference Date 2018-08-09 - 2018-08-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Iwate University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2018-08-SAT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sparse Adaptive Algorithms to Realize Non-contact Heartbeat Detection 
Sub Title (in English)  
Keyword(1) Non-contact heartbeat detection  
Keyword(2) Doppler radar  
Keyword(3) sparse spectrum reconstruction (SSR)  
Keyword(4) stochastic gradient  
Keyword(5) adaptive filter  
1st Author's Name Chen Ye  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Kentaroh Toyoda  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Tomoaki Ohtsuki  
3rd Author's Affiliation Keio University (Keio Univ.)
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Date Time 2018-08-09 14:10:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-SAT2018-34,IEICE-RCS2018-137 
Volume (vol) IEICE-118 
Number (no) no.176(SAT), no.177(RCS) 
Page pp.29-34(SAT), pp.31-36(RCS) 
#Pages IEICE-6 
Date of Issue IEICE-SAT-2018-08-02,IEICE-RCS-2018-08-02 

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