Detecting muscle fatigue during lower limb isometric contractions tasks: a machine learning approach
The classification performance of this study surpasses that of existing state-of-the-art methods for detecting exercise-induced fatigue. Therefore, the proposed strategy is both valid and effective for supporting the detection of muscle fatigue in training, rehabilitation, and occupational settings.
Authors
- Weiguang Cui (ORCID: https://orcid.org/0000-0002-2113-4863)
- Guangda Liu (ORCID: https://orcid.org/0000-0001-8905-7641)
- Yubing Sun
- Jiaqi Sun (ORCID: https://orcid.org/0000-0001-5903-457X)
- Cheng Zhang (ORCID: https://orcid.org/0000-0002-4134-2854)
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-03-13
- DOI
- https://doi.org/10.3389/fphys.2025.1547257
- Citations
- 4
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 2.70