| CHLÁDEK, J., Milan BRÁZDIL, J. HALÁMEK, F. PLEŠINGER and P. JURÁK. Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain. In Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE, 3-7-July, 2013, Osaka. United States: the IEEE Engineering in Medicine and Biology Society, 2013, p. 1025 - 1028. ISBN 978-1-4577-0216-7. Available from: https://dx.doi.org/10.1109/EMBC.2013.6609678. |
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@inproceedings{1164650,
author = {Chládek, J. and Brázdil, Milan and Halámek, J. and Plešinger, F. and Jurák, P.},
address = {United States},
booktitle = {Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE, 3-7-July, 2013, Osaka},
doi = {http://dx.doi.org/10.1109/EMBC.2013.6609678},
keywords = {intra-cerebral electroencephalographic data (SEEG)},
howpublished = {tištěná verze "print"},
language = {eng},
location = {United States},
isbn = {978-1-4577-0216-7},
pages = {1025 - 1028},
publisher = {the IEEE Engineering in Medicine and Biology Society},
title = {Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain},
year = {2013}
}
TY - JOUR
ID - 1164650
AU - Chládek, J. - Brázdil, Milan - Halámek, J. - Plešinger, F. - Jurák, P.
PY - 2013
TI - Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain
PB - the IEEE Engineering in Medicine and Biology Society
CY - United States
SN - 9781457702167
KW - intra-cerebral electroencephalographic data (SEEG)
N2 - 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.
ER -
CHLÁDEK, J., Milan BRÁZDIL, J. HALÁMEK, F. PLEŠINGER and P. JURÁK. Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain. In \textit{Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE, 3-7-July, 2013, Osaka}. United States: the IEEE Engineering in Medicine and Biology Society, 2013, p.~1025 - 1028. ISBN~978-1-4577-0216-7. Available from: https://dx.doi.org/10.1109/EMBC.2013.6609678.
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