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Source localization for EEG patterns relevant to motor imagery BCI control
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SYSNO ASEP 0398546 Document Type K - Proceedings Paper (Czech conf.) R&D Document Type Conference Paper Title Source localization for EEG patterns relevant to motor imagery BCI control Author(s) Bobrov, P. (CZ)
Frolov, A. (CZ)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Tintěra, J. (CZ)Source Title WOFEX 2013. - Ostrava : VŠB - Technical University, 2013 / Krátký P. ; Dvorský J. ; Moravec P. - ISBN 978-80-248-3073-5
S. 459-464Number of pages 6 s. Publication form Print - P Action WOFEX 2013. Annual workshop /11./ Event date 10.09.2013-11.09.2013 VEvent location Ostrava Country CZ - Czech Republic Event type CST Language eng - English Country CZ - Czech Republic Keywords brain computer interface ; inverse EEG problem ; brain activity location ; signal classification ; independent component analysis Subject RIV IN - Informatics, Computer Science Institutional support UIVT-O - RVO:67985807 Annotation This work concerns spatial localization of sources of EEG patterns the most specific for control of the motor imagery based BCI. In our previous work we have shown that performance of Bayesian BCI classifier can be drastically improved by extraction of the most relevant independent components of the EEG signal. This paper presents the results of spatial localization of electrical brain activity sources which activity is reflected by the extracted components. The localization was performed by solving the inverse problem in EEG source localization, using individual finite-element head models. The sources were located in central sulcus (Brodmann area 3a), in the superior regions of post- and precentral gyri, and supplementary motor cortex. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2014
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