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

Author

Chen, Chiu-Kuo ; Chua, Ericson ; Hsieh, Zong-Han ; Fang, Wai-Chi ; Wang, Yu-Te ; Jung, Tzyy-Ping

Author_Institution

Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2012

fDate

3-5 Sept. 2012

Firstpage

13

Lastpage

14

Abstract

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.

Keywords

brain-computer interfaces; electroencephalography; independent component analysis; medical signal processing; real-time systems; BCI; CCA; EEG based brain computer interface; ICA; SSEVP; canonical correlation analysis; electroencephalogram; independent component analysis; real-time artifact removal; steady state visually evoked potential; Electroencephalography; Independent component analysis; Real-time systems; Software; Steady-state; System-on-a-chip; Visualization; Artifact Removal; InfoMax ICA component; Portable Brain Monitoring System; brain electroencephalogram (EEG); independent component analysis (ICA);

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Berlin

ISSN

2166-6814

Print_ISBN

978-1-4673-1546-3

Type

conf

DOI

10.1109/ICCE-Berlin.2012.6336491

Filename

6336491