Title :
Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain
Author :
Chladek, J. ; Brazdil, M. ; Halamek, J. ; Plesinger, Filip ; Jurak, P.
Author_Institution :
Inst. of Sci. Instrum., Brno, Czech Republic
Abstract :
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.
Keywords :
electroencephalography; medical signal processing; neurophysiology; statistical analysis; time-frequency analysis; brain activity; event-related desynchronization; intracerebral electroencephalographic data; oddball stimuli; off-line analysis procedure; off-line functional classification; relative signal power change; statistical analysis; task related deep brain EEG dynamic changes; time-frequency domain; Brain; Color; Electrodes; Electroencephalography; Statistical analysis; Time-frequency analysis; Visualization; Brain; Electroencephalography; Evoked Potentials; Humans; Probability; Signal Processing, Computer-Assisted; Statistics as Topic; Task Performance and Analysis; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6609678
