Is Nonlinearity Relevant for Detecting Changes in EEG?

0403731 - UIVT-O 20000025 RIV DE eng J - Článek v odborném periodiku
Paluš, Milan - Komárek, V. - Hrnčíř, Z. - Procházka, T.
Is Nonlinearity Relevant for Detecting Changes in EEG?
Theory in Biosciences. č. 118 (1999), s. 179-188. ISSN 1431-7613. E-ISSN 1611-7530
Grant ostatní: IGA MZ ČR(CZ) NF6258
Výzkumný záměr: AV0Z1030915
Klíčová slova: epilepsy * invasive EEG * nonlinear analysis * entropy rate * correlation dimension
Kód oboru RIV: BA - Obecná matematika
Impakt faktor: 0.857, rok: 1999

Transient changes of dynamical complexity in preictal, ictal and interictal invasive EEG recordings of an epileptic patient were characterized by linear and nonlinear measures related to entropy rates, as well as by correlation dimension and a nonlinearity index. All measures brought qualitatively equivalent results, however, the nonlinear coarse-grained entropy rate was found to be the most sensitive measure.
Trvalý link: http://hdl.handle.net/11104/0124024