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2021 | OriginalPaper | Chapter

Analysis of Complex Partial Seizure Using Non-linear Duffing Van der Pol Oscillator Model

Authors : Beata Szuflitowska, Przemyslaw Orlowski

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

Complex partial seizures belong to the most common type of epileptic seizures. The main purpose of the case study is the application of the Van der Pol model oscillator to study brain activity during temporal left lobe seizures. The oscillator is characterized by three pairs of parameters: linear and two nonlinear, cubic and Van der Pol damping. The optimization based on the normalized power spectra of model output and real EEG signal is performed using a genetic algorithm. The results suggest that the estimated parameter values change during the course of the seizure, according to changes in brain waves generation. In the article, based on values of sensitivity factor of parameters, and, sample entropy non-stationary of considered seizure phases are analyzed. The onset of the seizure and the tangled stage belongs to strongly non-stationary processes.

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Metadata
Title
Analysis of Complex Partial Seizure Using Non-linear Duffing Van der Pol Oscillator Model
Authors
Beata Szuflitowska
Przemyslaw Orlowski
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-77970-2_33

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