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An EEG-based brain—computer interface with real-time artifact removal using independent component analysis

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6 Author(s)
Chiu-Kuo Chen ; Department of Electrical Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan ; Ericson Chua ; Zong-Han Hsieh ; Wai-Chi Fang
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This paper presents a steady-state visually evoked potential (SSEVP) EEG-based brain-computer interface (BCI) with real-time artifact removal using independent component analysis (ICA). This system comprises an SSEVP-based stimulator, a four-channel electroencephalogram (EEG) front-end module, an ICA-based artifact removal module, and a canonical correlation analysis (CCA) detection module. The proposed SSEVP-based BCI system with artifact removal module is implemented and verified using ARM-based system on chip platform. The test patterns of 9Hz and 10Hz SSEVP raw data with a 2-second window, advancing with a 1-sec interval, are applied to this system, and the improvements of the hit rate are achieved approximately 53% and 48%, respectively.

Published in:

Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on

Date of Conference:

3-5 Sept. 2012