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 |
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) |
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EMCJ2018-10 |
Conference Information |
Committee |
EMCJ IEE-EMC |
Conference Date |
2018-05-25 - 2018-05-25 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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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) |
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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 |
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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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Speaker |
Author-1 |
Date Time |
2018-05-25 15:55:00 |
Presentation Time |
25 minutes |
Registration for |
EMCJ |
Paper # |
EMCJ2018-10 |
Volume (vol) |
vol.118 |
Number (no) |
no.66 |
Page |
pp.31-36 |
#Pages |
6 |
Date of Issue |
2018-05-18 (EMCJ) |
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