脑肌电联合识别在脑卒中后运动康复中的应用进展

doi:10.3969/j.issn.0258-8021.2025.03.008

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Abstract Cerebral apoplexy has become the leading cause of adult disability in China. Spastic paralysis after stroke seriously affects the motor function and self-care ability of patients, so effective rehabilitation methods are urgently needed. In recent years, brain-computer interface (BCI) technology has provided a new scheme for post-stroke sports rehabilitation training. Compared with BCI based on single mode scalp electroencephalography, BCI based on brain-myoelectric combination can more comprehensively reflect the neural process from the generation of motor intention to behavior control, and also provides a possibility to solve the problems such as low recognition accuracy and few pattern categories of traditional BCI system, and provides a new idea for the rehabilitation of patients with movement disorders. In this paper, we reviewed the combined feature analysis and extraction algorithms of EEG, myography and EEG, introduced the comprehensive evaluation method of neuromuscular system based on the principle of EEG coherence, summarized its rehabilitation training methods combined with active exoskeleton and functional electrical stimulation, and further discussed the challenges and difficulties in this field and predicted its future development trend, aiming to promote in-depth research and development of the cerebral myoelectric coherence method in the field of sports rehabilitation.

Key words： electroencephalogram (EEG) electromyography (EMG) cerebral myoelectric coherence brain-computer interface exercise rehabilitation

Received: 06 January 2025

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R318

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	Articles by authors
	Wang Yupeng
	Yao Yuan
	Lei Haixia
	Qu Ruihao
	Wang Kun
	Xu Minpeng

Cite this article:

Wang Yupeng,Yao Yuan,Lei Haixia, et al. Progress in Application of EEG Combined Recognition in Exercise Rehabilitation after Stroke[J]. Chinese Journal of Biomedical Engineering, 2025, 44(3): 335-344.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2025.03.008 OR http://cjbme.csbme.org/EN/Y2025/V44/I3/335

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