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Analysis of Parameters Distribution of EEG Signals for Five Epileptic Seizure Phases Modeled by Duffing Van Der Pol Oscillator

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Computational Science – ICCS 2022 (ICCS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13352))

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Abstract

Complex temporal epilepsy belongs to the most common type of brain disorder. Nevertheless, the wave patterns of this type of seizure, especially associated with behavioral changes, are difficult to interpret clinically. A helpful tool seems to be the statistical and time-frequency analysis of modeled epilepsy signals. The main goal of the study is the application of the Van der Pol model oscillator to study brain activity and intra-individual variability during complex temporal seizures registered in one patient. The achievement of the article is the confirmation that the statistical analysis of optimal values of three pairs of parameters of the duffing Van der Pol oscillator model enables the differentiation of the individual phases of the seizure in short-period seizure waves. In addition, the article attempts to compare the real signals recorded during the attack and modeled using frequency and time-frequency analysis. Similarities of power spectra and entropy samples of real and generated signals in low-frequency values are noted, and differences in higher values are explained about the clinical interpretation of the records.

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Authors and Affiliations

  1. West Pomeranian University of Technology in Szczecin, Sikorskiego 37, 70-313, Szczecin, Poland

    Beata Szuflitowska & Przemyslaw Orlowski

Authors
  1. Beata Szuflitowska
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  2. Przemyslaw Orlowski
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Corresponding author

Correspondence to Beata Szuflitowska .

Editor information

Editors and Affiliations

  1. Brunel University London, London, UK

    Derek Groen

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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Szuflitowska, B., Orlowski, P. (2022). Analysis of Parameters Distribution of EEG Signals for Five Epileptic Seizure Phases Modeled by Duffing Van Der Pol Oscillator. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13352. Springer, Cham. https://doi.org/10.1007/978-3-031-08757-8_18

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  • DOI: https://doi.org/10.1007/978-3-031-08757-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08756-1

  • Online ISBN: 978-3-031-08757-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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