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Paper Abstract and Keywords
Presentation 2022-01-27 14:50
AI-Linked Real-Time Healthcare System -- Predictive validation of exercise intensity 2 --
Kouichi Miyachi, Kaiji Owaki, Manaya Yamazaki, Hideaki Kimura (Chubu Univ.) EST2021-68 Link to ES Tech. Rep. Archives: EST2021-68
Abstract (in Japanese) (See Japanese page) 
(in English) n recent years, Japan has been faced with a declining birthrate and an aging society, and there are concerns about the increasing social burden of medical costs. Therefore, an urgent response is required. However, it will take several decades to improve the population balance in an aging society with low birthrate. Therefore, from the perspective of preventive medicine, extending healthy life expectancy is expected to reduce the burden of medical costs on society as a whole. Therefore, it is necessary to construct a system that leads to the extension of healthy life expectancy. Therefore, we propose an "AI-linked real-time healthcare system" as a technology to reduce the gap between healthy life expectancy and average life expectancy. As the first step toward establishing the technology, we have studied the prediction method of exercise intensity using AI.
Keyword (in Japanese) (See Japanese page) 
(in English) Healthcare / Edge Computing / Artificial Intelligence / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 358, EST2021-68, pp. 55-58, Jan. 2022.
Paper # EST2021-68 
Date of Issue 2022-01-20 (EST) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF EST2021-68 Link to ES Tech. Rep. Archives: EST2021-68

Conference Information
Committee EST  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Simulation techniques, etc. 
Paper Information
Registration To EST 
Conference Code 2022-01-EST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) AI-Linked Real-Time Healthcare System 
Sub Title (in English) Predictive validation of exercise intensity 2 
Keyword(1) Healthcare  
Keyword(2) Edge Computing  
Keyword(3) Artificial Intelligence  
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1st Author's Name Kouichi Miyachi  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Kaiji Owaki  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Manaya Yamazaki  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Hideaki Kimura  
4th Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2022-01-27 14:50:00 
Presentation Time 20 minutes 
Registration for EST 
Paper # EST2021-68 
Volume (vol) vol.121 
Number (no) no.358 
Page pp.55-58 
#Pages
Date of Issue 2022-01-20 (EST) 


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