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Paper Abstract and Keywords
Presentation 2018-05-25 15:55
Real Time Removal of Body Motion Noise in Wearable Electrocardiogram Signal using Stationary Wavelet Transform
Keisuke Koike, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2018-10
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, along with the problem of aging population, application to the field of medical health care of wearable body area network (BAN) is expected. Especially, we focus on a monitoring of electrocardiogram (ECG) signal in daily life which aims at early detection of heart disease and the grasp of the health state. However, the problem in case of the continuous monitoring of ECG signal is the distortion of ECG signal due to the noise from body movement. Therefore, in this study, we attempted to realize real time removal of body motion noise using stationary wavelet transform. To remove body motion noise with less data, we proposed an algorithm that employed more effective wavelet function for the detection of ECG. We verified its effectiveness in comparison with our previous algorithm. Also, we constructed the system which carries out ECG signal measurement and removal of body motion noise simultaneously. As a result, we confirmed that the time required for motion noise removal was reduced from previous 8 seconds to 5 seconds. In addition, we showed the feasibility to remove body motion noise in real time by updeting data every second.
Keyword (in Japanese) (See Japanese page) 
(in English) ECG signal / monitoring in daily life / stationary wavelet transform / removal of body motion noise / real time / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 66, EMCJ2018-10, pp. 31-36, May 2018.
Paper # EMCJ2018-10 
Date of Issue 2018-05-18 (EMCJ) 
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 EMCJ IEE-EMC  
Conference Date 2018-05-25 - 2018-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) EMC 
Paper Information
Registration To EMCJ 
Conference Code 2018-05-EMCJ-EMC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Real Time Removal of Body Motion Noise in Wearable Electrocardiogram Signal using Stationary Wavelet Transform 
Sub Title (in English)  
Keyword(1) ECG signal  
Keyword(2) monitoring in daily life  
Keyword(3) stationary wavelet transform  
Keyword(4) removal of body motion noise  
Keyword(5) real time  
1st Author's Name Keisuke Koike  
1st Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
2nd Author's Name Daisuke Anzai  
2nd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
3rd Author's Name Jianqing Wang  
3rd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
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Date Time 2018-05-25 15:55:00 
Presentation Time 25 
Registration for EMCJ 
Paper # IEICE-EMCJ2018-10 
Volume (vol) IEICE-118 
Number (no) no.66 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-EMCJ-2018-05-18 

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