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Localization of Epileptic Foci Using EEG Brain Mapping

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

The method for localization of epileptic foci is described in this paper. The source of epileptic seizure is localized from multi-channel electroencephalogram (EEG). There are many spectral methods for analysis of EEG signal and brain mapping is one of them. The brain mapping is used for visualisation of brain activity over the scalp. The mapping of time delay between channels can be applied for localization of epileptic foci. This type of mapping was implemented into developed application with intention to localize source of epileptic seizure. The software also provides detection of epileptic graphoelements and displays location of the epileptic focus in two or three-dimensional space. The method described in this paper is verified on real data with epilepsy.

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Acknowledgments

This work was supported by the Slovak Research and Development Agency under the contract No. APVV-14-0519.

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Authors and Affiliations

  1. Department of Electromagnetic and Biomedical Engineering, University of Zilina, Univerzitna 1, 01026, Zilina, Slovakia

    Michaela Snajdarova & Branko Babusiak

Authors
  1. Michaela Snajdarova
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  2. Branko Babusiak
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Corresponding author

Correspondence to Michaela Snajdarova .

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Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Snajdarova, M., Babusiak, B. (2016). Localization of Epileptic Foci Using EEG Brain Mapping. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_25

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

  • eBook Packages: EngineeringEngineering (R0)

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