A low-cost and portable wrist exoskeleton using EEG-sEMG combined strategy for prolonged active rehabilitation

IntroductionHemiparesis is a common consequence of stroke that severely impacts the life quality of the patients. Active training is a key factor in achieving optimal neural recovery, but current systems for wrist rehabilitation present challenges in terms of portability, cost, and the potential for...

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Hauptverfasser:	Shiqi Yang, Min Li, Jiale Wang, Zhilei Shi, Bo He, Jun Xie, Guanghua Xu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2023-05-01
Schriftenreihe:	Frontiers in Neurorobotics
Schlagworte:	brain-machine interfaces machine learning for robot control rehabilitation robotics sEMG muscle fatigue detection
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fnbot.2023.1161187/full
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