摘要
脑卒中已成为我国成年人残疾的首要原因,其导致的痉挛性瘫痪严重损害患者的运动功能和生活能力,亟需有效的康复手段。近年来,脑-机接口(BCI)技术为脑卒中后运动康复训练提供了新的解决方案。相较于单模态的头皮脑电信号的BCI,基于脑肌电联合识别的BCI,能够更加全面地反映运动意图从产生到行为控制的神经传递过程,为解决传统BCI识别准确性低和模式类别少等问题带来突破,为运动障碍患者的康复提供了新思路。综述了脑电和肌电的特征以及脑肌电联合特征分析与提取算法,阐述了基于脑肌电相干性原理的神经-肌肉系统综合评价方法,介绍了其结合主动式外骨骼和功能性电刺激(FES)等所构建的康复训练方法,进一步分析了该领域当前技术瓶颈和挑战,并预测其未来发展趋势,以期促进在运动康复领域中脑肌电相干性方法的深入研究与开发应用。
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.
作者
王语鹏
姚远
雷海霞
曲睿昊
王坤
许敏鹏
Wang Yupeng;Yao Yuan;Lei Haixia;Qu Ruihao;Wang Kun;Xu Minpeng(Medical School of Tianjin University,Tianjin 300072,China;Tianjin Medical University Chu Hsien-I Memorial Hospital,Tianjin 300072,China)
出处
《中国生物医学工程学报》
北大核心
2025年第3期335-344,共10页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金(62206198)。
关键词
脑电
肌电
脑肌电相干性
脑机接口
运动康复
electroencephalogram(EEG)
electromyography(EMG)
cerebral myoelectric coherence
brain-computer interface
exercise rehabilitation
作者简介
通信作者:王坤,E-mail:flora_wk@tju.edu.cn。
