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Identification of Dynamic Patterns of Epileptic Seizures in Children by Nonlinear Mechanics Methods

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Abstract

Recurrence quantification analysis and multifractal analysis were used to study the encephalograms time series of the principal components of children with epilepsy. It is shown that epileptic seizures are accompanied by an increase in the determinism of the brain’s electrical activity process. This increase is due to the synchronization of neuronal activity during epileptic seizures. It is noted that this behavior is similar to the behavior of nonlinear systems of a different physical nature in catastrophic situations.

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  1. Ioffe Institute, 194021, St. Petersburg, Russia

    V. L. Hilarov

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Correspondence to V. L. Hilarov.

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Translated by M. Batrukova

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Hilarov, V.L. Identification of Dynamic Patterns of Epileptic Seizures in Children by Nonlinear Mechanics Methods. Tech. Phys. 65, 485–491 (2020). https://doi.org/10.1134/S106378422003007X

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