Characteristics of Surface EMG During Gait with and Without Power Assistance

Seiji Saito, Satoshi Muraki

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    抄録

    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.

    本文言語英語
    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
    出版社Springer Verlag
    ページ739-743
    ページ数5
    ISBN(印刷版)9783319960883
    DOI
    出版ステータス出版済み - 2019
    イベント20th Congress of the International Ergonomics Association, IEA 2018 - Florence, イタリア
    継続期間: 8月 26 20188月 30 2018

    出版物シリーズ

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

    その他

    その他20th Congress of the International Ergonomics Association, IEA 2018
    国/地域イタリア
    CityFlorence
    Period8/26/188/30/18

    !!!All Science Journal Classification (ASJC) codes

    • 制御およびシステム工学
    • コンピュータ サイエンス(全般)

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