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

Autoři

CHLÁDEK J. BRÁZDIL Milan HALÁMEK J. PLEŠINGER F. JURÁK P.

Druh Článek ve sborníku
Konference Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE, 3-7-July, 2013, Osaka
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
Doi http://dx.doi.org/10.1109/EMBC.2013.6609678
Obor Neurologie, neurochirurgie, neurovědy
Klíčová slova intra-cerebral electroencephalographic data (SEEG)
Popis 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.
Související projekty: