Is Nonlinearity Relevant for Detecting Changes in EEG?

0403731 - UIVT-O 20000025 RIV DE eng J - Journal Article
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 - others:IGA MZ ČR(CZ) NF6258
Institutional research plan: AV0Z1030915
Keywords : epilepsy * invasive EEG * nonlinear analysis * entropy rate * correlation dimension
Subject RIV: BA - General Mathematics
Impact factor: 0.857, year: 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.
Permanent Link: http://hdl.handle.net/11104/0124024