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Seizure Onset Detection in EEG Signals Based on Entropy from Generalized Gaussian PDF Modeling and Ensemble Bagging Classifier

Quintero Rincon, Antonio and D'Giano, Carlos and Batatia, Hadj Seizure Onset Detection in EEG Signals Based on Entropy from Generalized Gaussian PDF Modeling and Ensemble Bagging Classifier. (2019) In: Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine. (Advances in Predictive, Preventive and Personalised Medicine). Springer, Cham, 1-10. ISBN 978-3-030-11799-3

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Official URL: https://doi.org/10.1007/978-3-030-11800-6_1

Abstract

This paper proposes a new algorithm for epileptic seizure onset detection in EEG signals. The algorithm relies on the measure of the entropy of observed data sequences. Precisely, the data is decomposed into different brain rhythms using wavelet multi-scale transformation. The resulting coefficients are represented using their generalized Gaussian distribution. The proposed algorithm estimates the parameters of the distribution and the associated entropy. Next, an ensemble bagging classifier is used to performs the seizure onset detection using the entropy of each brain rhythm, by discriminating between seizure and non-seizure. Preliminary experiments with 105 epileptic events suggest that the proposed methodology is a powerful tool for detecting seizures in epileptic signals in terms of classification accuracy, sensitivity and specificity.

Item Type:Book Section
Additional Information:Online ISBN 978-3-030-11800-6
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia - FLENI (ARGENTINA)
Other partners > Instituto Tecnológico de Buenos Aires - ITBA (ARGENTINA)
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Deposited On:22 Jul 2019 12:18

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