Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches

Upper limb functional impairments persisting after stroke significantly affect patients’ quality of life. Precise adjustment of robotic assistance levels based on patients’ motion intentions using sEMG signals is crucial for active rehabilitation. This paper systematically reviews stud...

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Detalles Bibliográficos

Principais autores:	Zijun Wei, Zhi-Qiang Zhang, Sheng Quan Xie
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Assuntos:	Surface electromyography (sEMG) upper-limb rehabilitation musculoskeletal model deep learning muscle synergy motor unit
Acceso en liña:	https://ieeexplore.ieee.org/document/10487972/
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