EEG-controlled functional electrical stimulation rehabilitation for chronic stroke:system design and clinical application  

作　　者：Long Chen Bin Gu Zhongpeng Wang Lei Zhang Minpeng Xu Shuang Liu Feng He Dong Ming 

机构地区：[1]Neural Engineering&Rehabilitation Laboratory,Department of Biomedical Engineering,College of Precision Instruments and Optoelectronics Engineering,Tianjin University,Tianjin 300072,China [2]Academy of Medical Engineering and Translational Medicine,Tianjin University,Tianjin 300072,China

出　　处：《Frontiers of Medicine》2021年第5期740-749,共10页医学前沿（英文版）

基　　金：This work was supported by the National Key Research and Development Program of China(No.2017YFB1300302);National Natural Science Foundation of China(Nos.81630051,91648122,and 81601565);Tianjin Key Technology R&D Program(Nos.17ZXRGGX00020 and 16ZXHLSY00270).

摘　　要：Stroke is one of the most serious diseases that threaten human life and health.It is a major cause of death and disability in the clinic.New strategies for motor rehabilitation after stroke are undergoing exploration.We aimed to develop a novel artificial neural rehabilitation system,which integrates brain--computer interface(BCI)and functional electrical stimulation(FES)technologies,for limb motor function recovery after stroke.We conducted clinical trials(including controlled trials)in 32 patients with chronic stroke.Patients were randomly divided into the BCI-FES group and the neuromuscular electrical stimulation(NMES)group.The changes in outcome measures during intervention were compared between groups,and the trends of ERD values based on EEG were analyzed for BCI-FES group.Results showed that the increase in Fugl Meyer Assessment of the Upper Extremity(FMA-UE)and Kendall Manual Muscle Testing(Kendall MMT)scores of the BCI-FES group was significantly higher than that in the sham group,which indicated the practicality and superiority of the BCI-FES system in clinical practice.The change in the laterality coefficient(LC)values based onμ-ERD(ΔLCm-ERD)had high significant positive correlation with the change in FMA-UE(r=0.6093,P=0.012),which provides theoretical basis for exploring novel objective evaluation methods.

关 键 词：brain-computer interface functional electrical stimulation ELECTROENCEPHALOGRAM laterality coefficient chronic stroke 

分 类 号：R743.3[医药卫生—神经病学与精神病学]