An identification method of human joint interaction torque based on discrete EMG signals
A discrete prediction technology of human joint interaction torque based on EMG acquisition is established, which is helpful to deeply understand the relationship between muscle activity and joint motion, and provides a feasible method for extracting human joint torque.
Authors
- Yan Ding (ORCID: https://orcid.org/0000-0002-4269-9476)
- Guoan Zhang (ORCID: https://orcid.org/0000-0001-8439-3478)
- Liangchuang Liao
Institutions
- Southeast University (BD)
- Shanghai Shipbuilding Technology Research Institute (CN)
- China State Shipbuilding (China) (CN)
- Southeast University (CN)
- Taizhou University (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-04-29
- DOI
- https://doi.org/10.3389/fbioe.2025.1596180
- Citations
- 1
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.67