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EEG-controlled Table Bike for Neurorehabilitation Based on Sensorimotor-rhythm BCI

Authors:
Jin-Chern Chiou
Sheng-Chuan Liang
Chia-Hung Yen
Chun-Jen Chien
Yung-Jiun Lin
Tien-Fu Chang
Nei-Hsin Meng
Ching-Hung Lin
Jeng-Ren Duann

Keywords: -neurorehabilitation; sensorimotor rhythm (SMR); brain-computer interface; EEG

Abstract:
This work demonstrates an EEG-controlled table bike for neurorehabilitation based on the sensorimotor rhythm (SMR) BCI using a wearable ultra light-weighted 4-ch wireless EEG device designed and developed by our group. The 4-ch wireless EEG module was used to acquire high quality EEG signals from the scalp locations of C3 or C4 or both. The acquired EEG data were then processed and analyzed using an EEG translation module, also designed by our group, to extract the SMR features. Consequently, the SMR features were used to turn ON and OFF a commercially available table bike for neurorehabilitation process. Finally, the feasibility of the devised EEG-controlled table bike was tested on normal subjects using a motor imagery experiment, in which the subjects were asked to perform a motor imagery task every time a ‘go’ cue was displayed at the center of a computer screen and move the table bike without physical hand movement. In total, 12 healthy normal subjects and one chronic stroke patient participated in this study. The success rate at which the subjects/patient could successfully move the table bike after the cue onsets was used to evaluate the feasibility of the device. Our result showed that most of the subjects and patient could easily learn how to operate the EEG-controlled table bike with only few sessions of training (no more than 30 minutes) and achieve around 80% success rate.

Pages: 95 to 97

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-218-9

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012