Classification of Normal and Pre-Ictal EEG Signals Using Permutation Entropies and a Generalized Linear Model as a Classifier

In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability distribution function derived from symbolization techniques applied to the EEG signal is used t...

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Bibliographic Details

Published in:	Entropy
Main Authors:	Francisco O. Redelico, Francisco Traversaro, María del Carmen García, Walter Silva, Osvaldo A. Rosso, Marcelo Risk
Format:	Article
Language:	English
Published:	MDPI AG 2017-02-01
Subjects:	permutation entropy permutation min-entropy electroencephalography classification analysis
Online Access:	http://www.mdpi.com/1099-4300/19/2/72