イシグロ　ケイオウ   石黒　圭応    所属   医療保健学部 リハビリテーション学科　理学療法学専攻    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	JACⅢ（Journal of Advanced Computational Intelligence and Intelligent Informatics）
掲載区分	国外
出版社・発行元	富士技術出版株式会社
巻・号・頁	28(3),pp.595-605
総ページ数	11
著者・共著者	Shigeki Kuroda, Jinhua She, Sota Nakamura, Rennong Wang, Daisuke Chugo, Keio Ishiguro, Hiromi Sakai, and Hiroshi Hashimoto
原著者	Shigeki Kuroda
概要	This paper introduces a new lower-limb rehabilitation machine that meets the rehabilitation needs of hemi- plegic patients. First, a left–right independent rotary pedal mechanism was selected to facilitate rehabilita- tion 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 walk- ing muscle surface electromyography (sEMG) signal, and use cosine similarity to evaluate the similarity be- tween walking and pedaling activities. By compar- ing the results of the walking and pedaling experi- ments, the effectiveness of pedaling in gait rehabilita- tion is revealed. To further improve the similarity be- tween walking and pedaling, double integration of the sEMG signal is introduced, and the relationship be- tween load input and rotation angle is described for the first time using Fourier series. The results of the exper- iment 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 effi- ciency for many subjects compared to the usual exer- cise.