A Hierarchical Three-Stage Feature Selection Strategy for Efficient and Generalizable sEMG-Based Joint Torque Estimation in Athletic Training and Rehabilitation
- DOI
- 10.3390/s26185768
- Published
- 2026-09-11
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26185768,
title = {A Hierarchical Three-Stage Feature Selection Strategy for Efficient and Generalizable sEMG-Based Joint Torque Estimation in Athletic Training and Rehabilitation},
author = {Yufeng Zheng and Pingao Huang and Hongqiang Wang and Yongxue Wang and Chunlong Gan and Hui Wang},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26185768},
url = {https://doi.org/10.3390/s26185768}
}RIS
TY - JOUR TI - A Hierarchical Three-Stage Feature Selection Strategy for Efficient and Generalizable sEMG-Based Joint Torque Estimation in Athletic Training and Rehabilitation AU - Yufeng Zheng AU - Pingao Huang AU - Hongqiang Wang AU - Yongxue Wang AU - Chunlong Gan AU - Hui Wang PY - 2026 JO - Sensors DO - 10.3390/s26185768 UR - https://doi.org/10.3390/s26185768 ER -
APA
Zheng, Y., Huang, P., Wang, H., Wang, Y., Gan, C., & Wang, H. (2026). A Hierarchical Three-Stage Feature Selection Strategy for Efficient and Generalizable sEMG-Based Joint Torque Estimation in Athletic Training and Rehabilitation. Sensors. https://doi.org/10.3390/s26185768
Source records
- crossref · retrieved 2026-11-06T09:40:15.428Z