Design of upper limb muscle strength assessment system based on surface electromyography signals and joint motion
The SVR model demonstrated superior accuracy in predicting muscle strength. The RF model, with its feature importance capabilities, provides valuable insights that can assist therapists in the muscle strength assessment process.
Authors
- Junyu Yao (ORCID: https://orcid.org/0000-0002-2098-468X)
- Lai Wei (ORCID: https://orcid.org/0000-0003-2224-2038)
- Jun Koo Yi (ORCID: https://orcid.org/0000-0003-2593-6529)
- Xingyue Gou
- Hui Ye (ORCID: https://orcid.org/0000-0001-9539-9920)
- Siqi Wang (ORCID: https://orcid.org/0000-0002-2709-3185)
- Yudong Zhang (ORCID: https://orcid.org/0000-0002-4870-1493)
- Dong Cao (ORCID: https://orcid.org/0000-0003-1563-1983)
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Guangdong Pharmaceutical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-12-13
- DOI
- https://doi.org/10.3389/fneur.2024.1470759
- Citations
- 3
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- Division of Graduate Education