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Epileptic Seizure Detection Using Piecewise Linear Reduction

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Computer Aided Systems Theory – EUROCAST 2019 (EUROCAST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12014))

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Abstract

In this paper we propose a hybrid approach to detect seizure segments in a given EEG signal. In our model the discrete EEG signal is naturally associated with a piecewise linear function. We apply two data reduction techniques within the model space, a new half-wave method in the time domain, and orthogonal projection with the Franklin system in frequency domain. The later one is a complete orthogonal system of piecewise continuous functions. As a result we obtain two reduced piecewise linear functions with low complexity that still preserve the main characteristics of the seizures in the signals. Then the components of the feature vector are generated from the parameters of the two reduced functions. Our choice for the model space, i.e. the space of piecewise continuous functions, is justified by its simplicity on the one hand, and flexibility on the other hand. Accordingly the proposed algorithm is computationally fast and efficient. The algorithm is tested on 23 different subjects having more than 100 hours long term EEG in the CHB-MIT database in several respects. It showed better performance compared to the state of the art methods for seizure detection tested on the given database.

The first author was supported by EFOP-3.6.3-VEKOP-16-2017-00001: Talent Management in Autonomous Vehicle Control Technologies - The Project is supported by the Hungarian Government and co-financed by the European Social Fund.

This research of the second author was supported by the Hungarian Scientific Research Funds (OTKA) No K115804.

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Authors and Affiliations

  1. Department of Numerical Analysis, Faculty of Informatics, Eötvös L. University, Pázmány P. sétány 1/C, Budapest, 1117, Hungary

    Yash Paul & Sándor Fridli

Authors
  1. Yash Paul
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  2. Sándor Fridli
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Correspondence to Sándor Fridli .

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Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Paul, Y., Fridli, S. (2020). Epileptic Seizure Detection Using Piecewise Linear Reduction. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_45

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45095-3

  • Online ISBN: 978-3-030-45096-0

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