サカイ　ヒロミ   SAKAI HIROMI   酒井　弘美    所属   医療保健学部 リハビリテーション学科　作業療法学専攻    職種   教授
言語種別	英語
発行・発表の年月	2024/05
形態種別	学術論文
査読	査読あり
標題	Selecting Pedal Load for Lower-Limb Rehabilitation Based on the Combination of Muscle Synergy and Fourier Series
執筆形態	共著
掲載誌名	Journal of Advanced Computational Intelligence and Intelligent Informatics
掲載区分	国外
出版社・発行元	Fuji Technology Press
巻・号・頁	28(3),pp.595-605
総ページ数	11
著者・共著者	Shigeki Kuroda, Jinhua She, Sota Nakamuro, Rennong Wang, Daisuke Chugo, Keio Ishiguro, Hiromi Sakai, Hiroshi Hashimoto
概要	This paper introduces a new lower-limb rehabilitation machine that meets the rehabilitation needs of hemiplegic patients. First, a left–right independent rotary pedal mechanism was selected to facilitate rehabilitation and adapt to the user’s physical condition. Then, a half model of the lower-limb rehabilitation machine is designed and manufactured with ergonomics in mind. As analytical tools, we combine non-negative matrix factorization and non-negative double singular value decomposition to calculate muscle synergy of the walking muscle surface electromyography (sEMG) signal, and use cosine similarity to evaluate the similarity between walking and pedaling activities. By comparing the results of the walking and pedaling experiments, the effectiveness of pedaling in gait rehabilitation is revealed. To further improve the similarity between walking and pedaling, double integration of the sEMG signal is introduced, and the relationship between load input and rotation angle is described for the first time using Fourier series. The results of the experiment confirmed that more than half of the 10 subjects performed pedaling exercises similar to walking using Fourier series loading compared to pedaling exercises with normal constant loading. This loading parameter may have the potential to improve rehabilitation efficiency for many subjects compared to the usual exercise.