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2014 (Vol. 7, Issue: 3)
Article Information:

Blind Source Separation Based of Brain Computer Interface System: A review

Ahmed Kareem Abdullah and Zhang Chao Zhu
Corresponding Author:  Ahmed Kareem Abdullah 

Key words:  Artifact rejection, Brain Computer Interface (BCI), Blind Source Separation (BSS), Independent Component Analysis (ICA), neurophysiological signal analysis, ,
Vol. 7 , (3): 484-494
Submitted Accepted Published
February 06, 2013 March 08, 2013 January 20, 2014
Abstract:

This study reviews the originality and development of the Brain Computer Interface (BCI) system and focus on the BCI system design based on Blind Source Separation (BSS) techniques. The study also provides the recent trends and discusses some of a new ideas for BSS techniques in BCI architecture, articles which discussing the BCI system development were analysed, types of the BCI systems and the recent BCI design were explored. Since 1970 when the research of BCI system began in the California Los Angeles University, the interest and the amount of research in BCI have been increased significantly; especially, when the BSS theory emerged in 1982 by a simple discussion between researchers. A lot of refereed journals and conference papers are reviewed and categorized to make this study in useful form. However, there are a few comprehensive reviews of BSS techniques in BCI literature. The review concludes with a brief discussion and expected future of the BCI.
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  Cite this Reference:
Ahmed Kareem Abdullah and Zhang Chao Zhu, 2014. Blind Source Separation Based of Brain Computer Interface System: A review.  Research Journal of Applied Sciences, Engineering and Technology, 7(3): 484-494.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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