EEG Analysis in Structural Focal Epilepsy Using the Methods of Nonlinear Dynamics (Lyapunov Exponents, Lempel-Ziv Complexity, and Multiscale Entropy).

Autor: Yakovleva TV; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Kutepov IE; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Karas AY; Medical Center of Neurology, Diagnosis and Treatment of Epilepsy 'Epineiro', Saratov 410054, Russia., Yakovlev NM; Medical Center of Neurology, Diagnosis and Treatment of Epilepsy 'Epineiro', Saratov 410054, Russia., Dobriyan VV; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Papkova IV; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Zhigalov MV; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Saltykova OA; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Krysko AV; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Yaroshenko TY; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Erofeev NP; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia., Krysko VA; Department of Mathematics and Modelling, Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russia.
Jazyk: angličtina
Zdroj: TheScientificWorldJournal [ScientificWorldJournal] 2020 Feb 11; Vol. 2020, pp. 8407872. Date of Electronic Publication: 2020 Feb 11 (Print Publication: 2020).
DOI: 10.1155/2020/8407872
Abstrakt: This paper analyzes a case with the patient having focal structural epilepsy by processing electroencephalogram (EEG) fragments containing the "sharp wave" pattern of brain activity. EEG signals were recorded using 21 channels. Based on the fact that EEG signals are time series, an approach has been developed for their analysis using nonlinear dynamics tools: calculating the Lyapunov exponent's spectrum, multiscale entropy, and Lempel-Ziv complexity. The calculation of the first Lyapunov exponent is carried out by three methods: Wolf, Rosenstein, and Sano-Sawada, to obtain reliable results. The seven Lyapunov exponent spectra are calculated by the Sano-Sawada method. For the observed patient, studies showed that with medical treatment, his condition did not improve, and as a result, it was recommended to switch from conservative treatment to surgical. The obtained results of the patient's EEG study using the indicated nonlinear dynamics methods are in good agreement with the medical report and MRI data. The approach developed for the analysis of EEG signals by nonlinear dynamics methods can be applied for early detection of structural changes.
Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this paper.
(Copyright © 2020 Tatiana V. Yakovleva et al.)
Databáze: MEDLINE
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