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Is nonlinearity relevant for detecting changes in EEG ?

Milan Palus
Institute of Computer Science, Academy of Sciences of the Czech Republic
Pod vodárenskou vezí 2, 182 07 Prague 8, Czech Republic

V. Komarek, Z. Hrncir, T. Prochazka
Clinic of Paediatric Neurology, 2nd Medical Faculty of Charles University
V uvalu 84, 150 06 Prague 5 - Motol, Czech Republic


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.

Theory Biosci. 118 (1999) 179-188.

Milan Palus 2000