Characteristics of Surface EMG During Gait with and Without Power Assistance

Seiji Saito, Satoshi Muraki

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

Technology that assists and extends various functions of human beings will soon be available not only to medical and welfare but also to healthy individuals. This study aimed to characterize surface electromyography (EMG) signals in response to walking assistive equipment. Ten healthy male students walked on an 8-m uphill road (5.8% incline) using an assist walker (RT.2, RT.WORKS Co., Ltd) under assist and non-assist conditions. The EMG signals were recorded from four muscles (the rectus femoris [RF], biceps femoris, tibialis anterior, and lateral gastrocnemius). During loading response and terminal stance, the percent maximum voluntary isometric contraction (%MVC) peak value for RF was achieved more quickly in the assist condition than in the non-assist condition. However, during loading response and mid-swing, the %MVC peak value of RF was significantly lower in the assist condition than in the non-assist condition. These results indicate that humans alter muscle exertion patterns in specific muscles to adapt to walking assistance; such a change in the muscle exertion pattern may be adapted for smoother walking.

元の言語英語
ホスト出版物のタイトルProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume II
ホスト出版物のサブタイトルSafety and Health, Slips, Trips and Falls
編集者Yushi Fujita, Sebastiano Bagnara, Thomas Alexander, Riccardo Tartaglia, Sara Albolino
出版者Springer Verlag
ページ739-743
ページ数5
ISBN(印刷物)9783319960883
DOI
出版物ステータス出版済み - 1 1 2019
イベント20th Congress of the International Ergonomics Association, IEA 2018 - Florence, イタリア
継続期間: 8 26 20188 30 2018

出版物シリーズ

名前Advances in Intelligent Systems and Computing
819
ISSN(印刷物)2194-5357

その他

その他20th Congress of the International Ergonomics Association, IEA 2018
イタリア
Florence
期間8/26/188/30/18

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

フィンガープリント Characteristics of Surface EMG During Gait with and Without Power Assistance' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Saito, S., & Muraki, S. (2019). Characteristics of Surface EMG During Gait with and Without Power Assistance. : Y. Fujita, S. Bagnara, T. Alexander, R. Tartaglia, & S. Albolino (版), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume II: Safety and Health, Slips, Trips and Falls (pp. 739-743). (Advances in Intelligent Systems and Computing; 巻数 819). Springer Verlag. https://doi.org/10.1007/978-3-319-96089-0_80