Paper Abstract and Keywords |
Presentation |
2021-06-01 13:50
Investigation into muscle activities when swallowing by using machine learning Atsuo Taniguchi, Hiroaki Yoshida (Shinshu Univ.), Nobuyuki Ohmori (Nagano Pref. General Industrial Technology Center), Yoshito Koyama, Hiroshi Kurita (Shinshu Univ.) WIT2021-6 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Aspiration / Swallowing / EMG / Machine learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 52, WIT2021-6, pp. 28-31, June 2021. |
Paper # |
WIT2021-6 |
Date of Issue |
2021-05-25 (WIT) |
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) |
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WIT2021-6 |
Conference Information |
Committee |
WIT |
Conference Date |
2021-06-01 - 2021-06-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
WIT |
Conference Code |
2021-06-WIT |
Language |
Japanese |
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) |
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Keyword(1) |
Aspiration |
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Swallowing |
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EMG |
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Machine learning |
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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.) |
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Speaker |
Author-1 |
Date Time |
2021-06-01 13:50:00 |
Presentation Time |
25 minutes |
Registration for |
WIT |
Paper # |
WIT2021-6 |
Volume (vol) |
vol.121 |
Number (no) |
no.52 |
Page |
pp.28-31 |
#Pages |
4 |
Date of Issue |
2021-05-25 (WIT) |
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