Brain-Computer Interface Based on Motor Imagery: the Most Relevant Sources of Electrical Brain Activity

0398560 - ÚI 2014 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Frolov, A. A. - Húsek, Dušan - Snášel, V. - Bobrov, P. - Mokienko, O. - Tintěra, J. - Rydlo, J.
Brain-Computer Interface Based on Motor Imagery: the Most Relevant Sources of Electrical Brain Activity.
Soft Computing in Industrial Applications. Cham: Springer, 2014 - (Snášel, V.; Krömer, P.; Köppen, M.; Schaefer, G.), s. 153-163. Advances in Intelligent Systems and Computing, 223. ISBN 978-3-319-00929-2. ISSN 2194-5357.
[Online World Conference on Soft Computing in Industrial Applications /17./. Anywhere on Earth, 10.12.2012-21.12.2012)]
Grant ostatní: GA MŠk(CZ) ED1.1.00/02.0070; GA MŠk(CZ) EE.2.3.20.0073
Program: ED
Institucionální podpora: RVO:67985807
Klíčová slova: Image and Signal Processing * Brain-Computer Interface * Independent Component Analysis * EEG Pattern Classification * fMRI * Motor Imagery * Pattern Recognition
Kód oboru RIV: IN - Informatika
http://dap.vsb.cz/wsc17conf/brain-computer-interface-based-on-motor-imagery---the-most-relevant-sources-of-electrical-brain-activity

Examined are sources of brain activity, contributing to EEG patterns which correspond to motor imagery during training to control brain-computer interface (BCI). To identify individual source contribution into EEG recorded during the training, Independent Component Analysis (ICA) was employed. Those independent components, for which the BCI system classification accuracy was at maximum, were treated as relevant to performing the motor imagery tasks. To reveal neurophysiological nature of these components we solved the inverse EEG problem in order to localize the sources of brain activity causing these components to appear in EEG. Individual geometry of brain and its covers provided by anatomical MR images, was taken into account when localizing the sources. Their positions were compared with foci of BOLD activity obtained in fMRI study.
Trvalý link: http://hdl.handle.net/11104/0226031