Post-Stroke Fine Hand Motion Intention Recognition Based on sEMG Decomposition and Residual Spiking Neural Networks

Fine motor dysfunction of the hand severely impacts activities of daily living in stroke survivors. Accurate decoding of motion intentions from surface electromyography (sEMG) is critical for enabling survivors to participate actively in robot-assisted rehabilitation. Motion intention recognition me...

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Detalhes bibliográficos

Principais autores:	Jinting Ma, Lifen Wang, Yiyun Tan, Jintao Chen, Naiwen Zhang, Lihai Tan, Guanglin Li, Minghong Sui, Naifu Jiang, Guo Dan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Assuntos:	Hand motion intention recognition surface electromyography decomposition motor unit spike trains spiking neural networks stroke survivors
Acesso em linha:	https://ieeexplore.ieee.org/document/11187391/
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