Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain

0423943 - ÚPT 2014 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Chládek, Jan - Brázdil, M. - Halámek, Josef - Plešinger, Filip - Jurák, Pavel
Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain.
35th Annual International Conference of the IEEE (EMBC 2013) - Conference proceedings. Piscataway: IEEE Service Center, 2013, s. 1025-1028. ISBN 978-1-4577-0216-7. ISSN 1557-170X.
[Annual International Conference of the IEEE Engineering in Medicine and Biology Society /35./. Osaka (JP), 03.07.2013-07.07.2013]
Grant CEP: GA ČR GAP103/11/0933
Institucionální podpora: RVO:68081731
Klíčová slova: electroencephalography * medical signal processing * neurophysiology
Kód oboru RIV: FH - Neurologie, neurochirurgie, neurovědy

We present an off-line analysis procedure for exploring brain activity recorded from intra-cerebral electroencephalographic data (SEEG). The objective is to determine the statistical differences between different types of stimulations in the time-frequency domain. The procedure is based on computing relative signal power change and subsequent statistical analysis. An example of characteristic statistically significant event-related de/synchronization (ERD/ERS) detected across different frequency bands following different oddball stimuli is presented. The method is used for off-line functional classification of different brain areas.
Trvalý link: http://hdl.handle.net/11104/0229990