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Paper Abstract and Keywords
Presentation 2022-05-19 15:10
Arrhythmia catheter ablation point prediction from ECG and CT image based on machine learning
Kazuyuki Ohmura (GEHCJ), Kenichiro Yamagata, Kengo Kusano (NCVC), Nozomu Uetake (GEHCJ) SIP2022-13 BioX2022-13 IE2022-13 MI2022-13
Abstract (in Japanese) (See Japanese page) 
(in English) Catheter ablation is the key therapy in treating arrhythmia. For this treatment planning, 3D electroanatomical map is used to find the origin but it needs the direct access to heart with electrode and requires the experience and long time to get detailed information. So if the origin can be predicted with CT image and ECG data before treatment, it improves the quality of treatment. This paper propose the model to predict catheter ablation origin from 12-lead ECG + position of electrodes and CT image.
Keyword (in Japanese) (See Japanese page) 
(in English) Arrhythmia / Catheter ablation / CT / ECG / Machine Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 31, MI2022-13, pp. 71-75, May 2022.
Paper # MI2022-13 
Date of Issue 2022-05-12 (SIP, BioX, IE, MI) 
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 SIP2022-13 BioX2022-13 IE2022-13 MI2022-13

Conference Information
Committee SIP BioX IE MI ITE-IST ITE-ME  
Conference Date 2022-05-19 - 2022-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto University Kurokami Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2022-05-SIP-BioX-IE-MI-IST-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Arrhythmia catheter ablation point prediction from ECG and CT image based on machine learning 
Sub Title (in English)  
Keyword(1) Arrhythmia  
Keyword(2) Catheter ablation  
Keyword(3) CT  
Keyword(4) ECG  
Keyword(5) Machine Learning  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuyuki Ohmura  
1st Author's Affiliation GE Healthcare Japan Co. Ltd. (GEHCJ)
2nd Author's Name Kenichiro Yamagata  
2nd Author's Affiliation National Cerebral and Cardiovascular Center Department of Cardiovasular Medicine (NCVC)
3rd Author's Name Kengo Kusano  
3rd Author's Affiliation National Cerebral and Cardiovascular Center Department of Cardiovasular Medicine (NCVC)
4th Author's Name Nozomu Uetake  
4th Author's Affiliation GE Healthcare Japan Co. Ltd. (GEHCJ)
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Speaker Author-1 
Date Time 2022-05-19 15:10:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # SIP2022-13, BioX2022-13, IE2022-13, MI2022-13 
Volume (vol) vol.122 
Number (no) no.28(SIP), no.29(BioX), no.30(IE), no.31(MI) 
Page pp.71-75 
#Pages 5 
Date of Issue 2022-05-12 (SIP, BioX, IE, MI) 

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