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Is nonlinearity relevant for detecting changes in EEG?

Publication at First Faculty of Medicine, Faculty of Physical Education and Sport, Second Faculty of Medicine |
1999

Abstract

Transient changes of dynamical complexity in preictal, ictal and interictal invasive EEG recordings of an epileptic patient were characterized by linear and non-linear 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.