CHLÁDEK, J., Milan BRÁZDIL, J. HALÁMEK, F. PLEŠINGER a 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, s. 1025 - 1028. ISBN 978-1-4577-0216-7. Dostupné z: 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 a 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, s.~1025 - 1028. ISBN~978-1-4577-0216-7. Dostupné z: https://dx.doi.org/10.1109/EMBC.2013.6609678.
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