| Presentation | 2021-06-01 Investigation into muscle activities when swallowing by using machine learning Atsuo Taniguchi, Hiroaki Yoshida, Nobuyuki Ohmori, Yoshito Koyama, Hiroshi Kurita, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Japan faces the serious concerns of aging and aspiration (accidental swallowing) is one of the big problems to be solved. In order to prevent aspiration, electromyogram (EMG) is used because it is suitable for test of swallowing function. However, EMG is difficult for healthcare to perform experiments and analyze data. Recent years, there is a lot of progress in the field of machine learning. If EMG data could be analyzed automatically with the use of machine learning, it is possible to ease burdens on healthcare workers. In this study, we investigated muscle activities when swallowing by using machine learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Aspiration / Swallowing / EMG / Machine learning |
| Paper # | WIT2021-6 |
| Date of Issue | 2021-05-25 (WIT) |
| Conference Information | |
| Committee | WIT |
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| Conference Date | 2021/6/1(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinji Sakou(Nagoya Inst. of Tech.) |
| Vice Chair | Tomohiro Amemiya(Univ. of Tokyo) |
| Secretary | Tomohiro Amemiya(Tsukuba Univ. of Tech.) |
| Assistant | Minako Hosono(AIST) / Aki Sugano(Nagoya Univ.) / Komori Tomoyasu(NHK STRL) |
| Paper Information | |
| Registration To | Technical Committee on Well-being Information Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation into muscle activities when swallowing by using machine learning |
| Sub Title (in English) | |
| Keyword(1) | Aspiration |
| Keyword(2) | Swallowing |
| Keyword(3) | EMG |
| Keyword(4) | Machine learning |
| 1st Author's Name | Atsuo Taniguchi |
| 1st Author's Affiliation | Shinshu University(Shinshu Univ.) |
| 2nd Author's Name | Hiroaki Yoshida |
| 2nd Author's Affiliation | Shinshu University(Shinshu Univ.) |
| 3rd Author's Name | Nobuyuki Ohmori |
| 3rd Author's Affiliation | Nagano Prefecture General Industrial Technology Center(Nagano Pref. General Industrial Technology Center) |
| 4th Author's Name | Yoshito Koyama |
| 4th Author's Affiliation | Shinshu University School of Medicine(Shinshu Univ.) |
| 5th Author's Name | Hiroshi Kurita |
| 5th Author's Affiliation | Shinshu University School of Medicine(Shinshu Univ.) |
| Date | 2021-06-01 |
| Paper # | WIT2021-6 |
| Volume (vol) | vol.121 |
| Number (no) | WIT-52 |
| Page | pp.pp.28-31(WIT), |
| #Pages | 4 |
| Date of Issue | 2021-05-25 (WIT) |