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JACIII Vol.28 No.3 pp. 595-605
doi: 10.20965/jaciii.2024.p0595
(2024)

Research Paper:

Selecting Pedal Load for Lower-Limb Rehabilitation Based on the Combination of Muscle Synergy and Fourier Series

Shigeki Kuroda*1, Jinhua She*1,† ORCID Icon, Sota Nakamuro*2, Rennong Wang*1, Daisuke Chugo*3 ORCID Icon, Keio Ishiguro*4, Hiromi Sakai*4, and Hiroshi Hashimoto*5 ORCID Icon

*1Graduate School of Engineering, Tokyo University of Technology
1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

Corresponding author

*2School of Engineering, Tokyo University of Technology
1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

*3School of Engineering, Kwansei Gakuin University
1 Gakuen-Uegahara, Sanda, Hyogo 669-1337, Japan

*4School of Health Sciences, Tokyo University of Technology
5-23-22 Nishikamata, Ota-ku, Tokyo 144-8535, Japan

*5Advanced Institute of Industrial Technology
1-10-40 Higashiooi, Shinagawa-ku, Tokyo 140-0011, Japan

Received:
December 2, 2023
Accepted:
January 23, 2024
Published:
May 20, 2024
Keywords:
cosine similarity, muscle synergy, non-negative matrix factorization, rehabilitation machine, surface electromyography
Abstract

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.

Double integrals and approximations of sEMGs

Double integrals and approximations of sEMGs

Cite this article as:
S. Kuroda, J. She, S. Nakamuro, R. Wang, D. Chugo, K. Ishiguro, H. Sakai, and H. Hashimoto, “Selecting Pedal Load for Lower-Limb Rehabilitation Based on the Combination of Muscle Synergy and Fourier Series,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.3, pp. 595-605, 2024.
Data files:
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Last updated on Jul. 12, 2024