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

fYear

2015

fDate

22-24 April 2015

Firstpage

1112

Lastpage

1115

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on

Conference_Location

Montpellier

Type

conf

DOI

10.1109/NER.2015.7146823

Filename

7146823