| Issue |
E3S Web Conf.
Volume 271, 2021
2021 2nd International Academic Conference on Energy Conservation, Environmental Protection and Energy Science (ICEPE 2021)
|
|
|---|---|---|
| Article Number | 03019 | |
| Number of page(s) | 4 | |
| Section | Research on Energy Chemistry and Chemical Simulation Performance | |
| DOI | https://doi.org/10.1051/e3sconf/202127103019 | |
| Published online | 15 June 2021 | |
A Reliable Muscle Synergy Extraction Method based on Multivariate Curve Resolution-Alternating Least Squares
1 Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
2 Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
* Corresponding author: mayehao@nimte.ac.cn
Muscle synergy is an important approach to evaluate motor function for patients with neurological diseases. Nonnegative matrix factorization (NMF) is the most widely used muscle synergy extraction method from electromyography (EMG) data. However, NMF usually falls into local optimum and is susceptible to noise, which significantly limit the promotion of muscle synergy. In this paper, a reliable synergy extraction method based on multivariate curve resolution-alternating least squares (MCRALS) was put forward. Its performance was compared with NMF through analyzing the EMG data of upper limb motor. The repeatability and intra-subject consistency were used to evaluate the two methods. As a result, MCR-ALS provided unique resolution result and better repeatability and consistency in contrast to NMF. Thus, the results of this study are of significance for the expansion and application of muscle synergy in medicine.
© The Authors, published by EDP Sciences, 2021
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