Is nonlinearity relevant for detecting changes in EEG?

Authors
Palus, M Komarek, V Hrncir, Z Prochazka, T
Citation
M. Palus et al., Is nonlinearity relevant for detecting changes in EEG?, THEOR BIOSC, 118(3-4), 1999, pp. 179-188
Citations number
19
Categorie Soggetti
Biology
Journal title
THEORY IN BIOSCIENCES
ISSN journal
14317613 → ACNP
Volume
118
Issue
3-4
Year of publication
1999
Pages
179 - 188
Database
ISI
SICI code
1431-7613(199912)118:3-4<179:INRFDC>2.0.ZU;2-3
Abstract
Transient changes of dynamical complexity in preictal, ictal and interictal invasive EEG recordings of an epileptic patient were characterized by line ar and non-linear measures related to entropy rates, as well as by correlat ion 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.