Feature-Level Fusion of Surface Electromyography and Mechanomyography Signals for MVC-Normalized Shoulder Abduction Force-Level Classification in Healthy Adults.
- DOI
- 10.3390/s26144351
- Published
- 2026-07-09
- Container
- Sensors (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26144351,
title = {Feature-Level Fusion of Surface Electromyography and Mechanomyography Signals for MVC-Normalized Shoulder Abduction Force-Level Classification in Healthy Adults.},
author = {Zhou C and Gao Y and Gou X and Yao J and Wu Q and Cao D and He X and Yi J.},
year = {2026},
journal = {Sensors (Basel)},
doi = {10.3390/s26144351},
url = {https://doi.org/10.3390/s26144351}
}RIS
TY - JOUR TI - Feature-Level Fusion of Surface Electromyography and Mechanomyography Signals for MVC-Normalized Shoulder Abduction Force-Level Classification in Healthy Adults. AU - Zhou C AU - Gao Y AU - Gou X AU - Yao J AU - Wu Q AU - Cao D AU - He X AU - Yi J. PY - 2026 JO - Sensors (Basel) DO - 10.3390/s26144351 UR - https://doi.org/10.3390/s26144351 ER -
APA
C, Z., Y, G., X, G., J, Y., Q, W., D, C., X, H., & J., Y. (2026). Feature-Level Fusion of Surface Electromyography and Mechanomyography Signals for MVC-Normalized Shoulder Abduction Force-Level Classification in Healthy Adults.. Sensors (Basel). https://doi.org/10.3390/s26144351
Source records
- europe-pmc · retrieved 2026-09-25T14:32:19.797Z
- doaj · retrieved 2026-09-25T14:32:19.803Z