Brain Computer Interface Enhancement by Independent Component Analysis

0368470 - ÚI 2013 RIV DE eng C - Conference Paper (international conference)
Bobrov, P. - Frolov, A. A. - Húsek, Dušan
Brain Computer Interface Enhancement by Independent Component Analysis.
Proceedings of the Third International Conference on Intelligent Human Computer Interaction IHCI 2011. Heidelberg: Springer, 2013 - (Kudělka, M.; Pokorný, J.; Snášel, V.; Abraham, A.), s. 51-60. Advances in Intelligent Systems and Computing, 179. ISBN 978-3-642-31602-9. ISSN 2194-5357.
[IHCI 2011. International Conference on Intelligent Human Computer Interaction /3./. Prague (CZ), 29.08.2011-31.08.2011]
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Grant - others:GA MŠk(CZ) ED1.1.00/02.0070
Program: ED
Institutional research plan: CEZ:AV0Z10300504
Keywords : brain computer interface * EEG patterns classiffication * independent component analysis * classification accuracy * m-rythm identification
Subject RIV: IN - Informatics, Computer Science

Brain-Computer Interface is aimed as a direct communication pathway between human or animal brain and an external device. A reliable, accurate and fast identification of a being’s intention based on EEG signal scanning is crucial part of the system. To improve the classification accuracy we propose to use Independent Component Analysis for mi-rhythm identification in data corresponding to motor imagery task performance during Brain-Computer Interface training and operation. We show that independent components corresponding to the mi-rhythm allow for higher classification accuracy comparing to raw EEG recordings usage.
Permanent Link: http://hdl.handle.net/11104/0202804