Template-based synergy extrapolation analysis for prediction of muscle excitations.

Li, Kaitai; Wang, Daming; Chen, Zuobing; Guo, Dazhi; Pan, Shuyi; Liu, Hui; Zhou, Congcong; Ye, Xuesong

Li, Kaitai; Wang, Daming; Chen, Zuobing; Guo, Dazhi; Pan, Shuyi; Liu, Hui; Zhou, Congcong; Ye, Xuesong.

Afiliación

Li K; Zhejiang University, Hangzhou, Hangzhou, 310058, CHINA.
Wang D; Zhejiang University School of Medicine First Affiliated Hospital, Building 17, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Hangzhou, Zhejiang, 310003, CHINA.
Chen Z; Departments of Physical Medicine and Rehabilitation, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, Hangzhou, Zhejiang, 310003, CHINA.
Guo D; Department of Hyperbaric Oxygen, Sixth Medical Center of PLA General Hospital, Beijin 100142, China, Beijing, Beijing, 100048, CHINA.
Pan S; Department of Hyperbaric Oxygen, Sixth Medical Center of PLA General Hospital, Beijin 100142, China, Beijing, Beijing, 100048, CHINA.
Liu H; Cognitive Systems Lab, University of Bremen, Enrique-Schmidt-Str. 5, Cartesium, 2-Etg., Bremen, Bremen, Bremen, 28359, GERMANY.
Zhou C; Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Hangzhou, Zhejiang, 310016, CHINA.
Ye X; College of Biomedical Engineering and Instrument Science, Zhejiang University, Zhejiang Province ZheDa road 38#, Hangzhou, Zhejiang, 310027, CHINA.

Physiol Meas ; 2024 Sep 04.

Article en En | MEDLINE | ID: mdl-39231477

ABSTRACT

ABSTRACT

OBJECTIVE:

Accurate prediction of unmearsured muscle excitations can reduce the required wearable surface electromyography (sEMG) sensors, which is a critical factor in the study of physiological measurement. Synergy extrapolation uses synergy excitations as building blocks to reconstruct muscle excitations. However, the practical application of synergy extrapolation is still limited as the extrapolation process utilizes unmeasured muscle excitations it seeks to reconstruct. This paper aims to propose and derive methods to provide an avenue for the practical application of synergy extrapolation with non-negative matrix factorization (NMF) methods.

APPROACH:

Specifically, a tunable Gaussian-Laplacian mixture distribution NMF (GLD-NMF) method and related multiplicative update rules are derived to yield appropriate synergy excitations for extrapolation. Furthermore, a template-based extrapolation structure (TBES) is proposed to extrapolate unmeasured muscle excitations based on synergy weighting matrix templates totally extracted from measured sEMG datasets, improving the extrapolation performance. Moreover, we applied the proposed GLD-NMF method and TBES to selected muscle excitations acquired from a series of single-leg stance (SLS) tests, walking tests and upper limb reaching tests. MAIN

RESULTS:

Experimental results show that the proposed GLD-NMF and TBES could extrapolate unmeasured muscle excitations accurately. Moreover, introducing synergy weighting matrix templates could decrease the number of sEMG sensors in a series of experiments. In addition, verification results demonstrate the feasibility of applying synergy extrapolation with NMF methods.

SIGNIFICANCE:

With the TBES method, synergy extrapolation could play a significant role in reducing data dimensions of sEMG sensors, which will improve the portability of sEMG sensors-based systems and promotes applications of sEMG signals in human-machine interfaces scenarios.

Palabras clave

Gaussian-Laplacian mixture model; muscle excitation; muscle synergy; surface electromyography sensors (sEMG); synergy extrapolation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Physiol Meas Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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