Title :
Application of BCI-FES system on stroke rehabilitation
Author :
Shenglong Jiang ; Long Chen ; Zhongpeng Wang ; Jiapeng Xu ; Cheng Qi ; Hongzhi Qi ; Feng He ; Dong Ming
Author_Institution :
Dept. of Biomed. Eng., Tianjin Univ., Tianjin, China
Abstract :
Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.
Keywords :
brain-computer interfaces; electroencephalography; neuromuscular stimulation; BCI-FES system; EEG signal; brain plasticity guidance; clinical rehabilitation; functional electrical stimulation; motor imagery; passive stroke rehabilitation; patient cortex; pattern recognition; poststroke hemiplegia patients; Electroencephalography; Feature extraction; Neuroplasticity; Spectrogram; Switches; Time-frequency analysis; Training;
Conference_Titel :
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location :
Montpellier
DOI :
10.1109/NER.2015.7146823
