Presentation | 2021-10-07 AI-Linked Real-Time Healthcare System Kouichi Miyachi, Kaiji Owaki, Manaya Yamazaki, Hideaki Kimura, |
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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |