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

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...

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Bibliographic Details
Published in:	TheScientificWorld Vol. 2020; no. 2020; pp. 1 - 13
Main Authors:	Yaroshenko, Tatiana Yu, Erofeev, Nikolai P., Krysko, V. A., Saltykova, Olga A., Zhigalov, M. V., Papkova, I.V., Dobriyan, Vitalii V., Yakovlev, Nikolai M., Karas, Antonina Yu, Kutepov, Ilya E., Yakovleva, Tatiana V., Krysko, A. V.
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc Hindawi Limited
Subjects:	Age Algorithms Change detection Chaos theory Complexity Consciousness Convulsions & seizures Data Analysis Dynamic structural analysis EEG Electroencephalography Electroencephalography - methods Entropy Epilepsies, Partial - diagnosis Epilepsies, Partial - physiopathology Epilepsy Humans Levetiracetam Liapunov exponents Magnetic Resonance Imaging Mathematical analysis Medical research Medical treatment Medicine, Experimental Methods Multiscale analysis Neural networks Noise Nonlinear analysis Nonlinear Dynamics Nonlinear systems Patients Signal Processing, Computer-Assisted Time series Wolf, Alan
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Summary:	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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Academic Editor: Salvatore Gambino
ISSN:	2356-6140 1537-744X 1537-744X
DOI:	10.1155/2020/8407872