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Paper Abstract and Keywords
Presentation 2021-07-02 11:30
Research on CNN-based automatic diagnosis support for electro-cardiogram
Yoshiyuki Honda, Akihiro Fujii (Hosei Univ.), Hiroyasu Shimizu NLC2021-2
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we proposed a method to determine normal and abnormal ECG waveforms and to classify them into multiple classes. In this method, the ECG is not treated as time-series waveform data, but as two-dimensional waveform image data, and classified. We used four classes from the MIT-BIH arrhythmia database: N class, VEB class, SVEB class, and F class, and classified them using CNN, VGG16, VGG19, and ResNet. The maximum accuracy was achieved with VGG16 and VGG19. 99.22% of sensitivity, 99.52% of specificity, and 99.3% of accuracy were obtained.
Keyword (in Japanese) (See Japanese page) 
(in English) ECG / CNN / MIT-BIH / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 82, NLC2021-2, pp. 7-12, July 2021.
Paper # NLC2021-2 
Date of Issue 2021-06-25 (NLC) 
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)
Download PDF NLC2021-2

Conference Information
Committee NLC IPSJ-ICS  
Conference Date 2021-07-02 - 2021-07-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Application of natural language processing and intelligent systems, and general topic of NLP 
Paper Information
Registration To NLC 
Conference Code 2021-07-NLC-ICS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research on CNN-based automatic diagnosis support for electro-cardiogram 
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Keyword(2) CNN  
Keyword(3) MIT-BIH  
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1st Author's Name Yoshiyuki Honda  
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2nd Author's Name Akihiro Fujii  
2nd Author's Affiliation Hosei University (Hosei Univ.)
3rd Author's Name Hiroyasu Shimizu  
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Speaker Author-2 
Date Time 2021-07-02 11:30:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2021-2 
Volume (vol) vol.121 
Number (no) no.82 
Page pp.7-12 
#Pages 6 
Date of Issue 2021-06-25 (NLC) 

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