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Paper Abstract and Keywords
Presentation 2021-11-26 09:25
Motion artifact removal in R-R interval estimation of the ECG signal for wearable biosensors using slope information and correlation matching
Kento Shibata, Daichi Nagai, Tadao Nakagawa (Tottori Univ.) SRW2021-35
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 121, no. 265, SRW2021-35, pp. 30-36, Nov. 2021.
Paper # SRW2021-35 
Date of Issue 2021-11-18 (SRW) 
ISSN Online edition: ISSN 2432-6380
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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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Conference Information
Committee SRW SeMI CNR  
Conference Date 2021-11-25 - 2021-11-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SRW 
Conference Code 2021-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Motion artifact removal in R-R interval estimation of the ECG signal for wearable biosensors using slope information and correlation matching 
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1st Author's Name Kento Shibata  
1st Author's Affiliation Tottori University (Tottori Univ.)
2nd Author's Name Daichi Nagai  
2nd Author's Affiliation Tottori University (Tottori Univ.)
3rd Author's Name Tadao Nakagawa  
3rd Author's Affiliation Tottori University (Tottori Univ.)
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Date Time 2021-11-26 09:25:00 
Presentation Time 25 minutes 
Registration for SRW 
Paper # SRW2021-35 
Volume (vol) vol.121 
Number (no) no.265 
Page pp.30-36 
#Pages
Date of Issue 2021-11-18 (SRW) 


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