Presentation 2021-10-07
AI-Linked Real-Time Healthcare System
Kouichi Miyachi, Kaiji Owaki, Manaya Yamazaki, Hideaki Kimura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In 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)
Keyword(in English) Healthcare / Edge Computing / Artificial Intelligence
Paper # EMCJ2021-36,MW2021-48,EST2021-38
Date of Issue 2021-09-30 (EMCJ, MW, EST)

Conference Information
Committee EST / MW / EMCJ / IEE-EMC
Conference Date 2021/10/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Jun Shibayama(Hosei Univ.) / Noriharu Suematsu(Tohoku Univ.) / Atsuhiro Nishikata(Tokyo Inst. of Tech.)
Vice Chair Masayuki Kimishima(Advantest) / Yasuhide Tsuji(Muroran Inst. of Tech.) / Yasuo Ohtera(Toyama Prefectural Univ.) / Tadashi Kawai(Univ. of Hyogo) / Kensuke Okubo(Okayama Prefectural Univ.) / Hideyuki Nakamizo(Mitsubishi Electric) / Kimihiro Tajima(NTT-AT)
Secretary Masayuki Kimishima(ENRI) / Yasuhide Tsuji(yoto Univ.) / Yasuo Ohtera(Saitama Univ.) / Tadashi Kawai(Toshiba) / Kensuke Okubo(NAIST) / Hideyuki Nakamizo(Hitachi) / Kimihiro Tajima
Assistant Seiya Kishimoto(Nihon Univ.) / Akito Iguchi(Muroran Inst. of Tech) / Naoki Hasegawa(Softbank) / Kosuke Katayama(Waseda Univ.) / Kiyoto Matsushima(Hitachi) / Hiroyoshi Shida(EMC Tech.) / Tohlu Matsushima(Kyushu Inst. of Tech.)

Paper Information
Registration To Technical Committee on Electronics Simulation Technology / Technical Committee on Microwaves / Technical Committee on Electromagnetic Compatibility / Technical Meeting on Electromagnetic Compatibility
Language JPN
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
Keyword(1) Healthcare
Keyword(2) Edge Computing
Keyword(3) Artificial Intelligence
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.)
Date 2021-10-07
Paper # EMCJ2021-36,MW2021-48,EST2021-38
Volume (vol) vol.121
Number (no) EMCJ-186,MW-187,EST-188
Page pp.pp.44-47(EMCJ), pp.44-47(MW), pp.44-47(EST),
#Pages 4
Date of Issue 2021-09-30 (EMCJ, MW, EST)