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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Autores principales:	Jinting Ma, Lifen Wang, Yiyun Tan, Jintao Chen, Naiwen Zhang, Lihai Tan, Guanglin Li, Minghong Sui, Naifu Jiang, Guo Dan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Materias:	Hand motion intention recognition surface electromyography decomposition motor unit spike trains spiking neural networks stroke survivors
Acceso en línea:	https://ieeexplore.ieee.org/document/11187391/
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