A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains

Yunfei Liu, Xu Zhang, Haowen Zhao, Xiang Chen, Ping Zhou

Open source

DOI
10.1142/s012906572650036x
Published
2026-05-13
Container
International Journal of Neural Systems
Publisher
World Scientific Pub Co Pte Ltd
Open access
unknown

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BibTeX

@article{allodium:10.1142/s012906572650036x,
  title = {A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains},
  author = {Yunfei Liu and Xu Zhang and Haowen Zhao and Xiang Chen and Ping Zhou},
  year = {2026},
  journal = {International Journal of Neural Systems},
  doi = {10.1142/s012906572650036x},
  url = {https://doi.org/10.1142/s012906572650036x}
}

RIS

TY  - JOUR
TI  - A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains
AU  - Yunfei Liu
AU  - Xu Zhang
AU  - Haowen Zhao
AU  - Xiang Chen
AU  - Ping Zhou
PY  - 2026
JO  - International Journal of Neural Systems
DO  - 10.1142/s012906572650036x
UR  - https://doi.org/10.1142/s012906572650036x
ER  - 

APA

Liu, Y., Zhang, X., Zhao, H., Chen, X., & Zhou, P. (2026). A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains. International Journal of Neural Systems. https://doi.org/10.1142/s012906572650036x

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