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A visual EEG epilepsy detection method based on a wavelet statistical representation and the Kullback-Leibler divergence

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VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016

Part of the book series: IFMBE Proceedings ((IFMBE,volume 60))

Abstract

This paper presents a statistical signal processing method for the characterization of EEG of patients suffering from epilepsy. A statistical model is proposed for the signals and the Kullback-Leibler divergence is used to study the differences between Seizure/Non-Seizure in patients suffering from epilepsy. Precisely, EEG signals are transformed into multivariate coefficients through multilevel 1D wavelet decomposition of different brain frequencies. The generalized Gaussian distribution (GGD) is shown to model precisely these coefficients. Patients are compared based on the analytical development of Kullback-Leibler divergence (KLD) of their corresponding GGD distributions. The method has been applied to a dataset of 18 epileptic signals of 9 patients. Results show a clear discrepancy between Seizure/Non-Seizure in epileptic signals, which helps in determining the onset of the seizure.

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Author information

Authors and Affiliations

  1. Department of Bioengineering, Instituto Tecnológico de Buenos Aires, Av. Eduardo Madero 399, C1106ACD, Buenos Aires, Argentine

    A. Quintero-Rincón & M. Risk

  2. Department of Mathematics, University of Bristol, University Walk, Clifton, Bristol, BS8 1TW, UK

    M. Pereyra

  3. Fundación contra las Enfermedades Neurológicas Infantiles (FLENI), Montañeses 2325, Buenos Aires, Argentina

    Carlos D’Giano

  4. University of Toulouse/IRIT - INP-ENSEEIHT, Toulouse, 2, rue Charles Camichel, B.P. 7122, 31071, Cedex 7, Toulouse, France

    H. Batatia

  5. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina

    M. Risk

Authors
  1. A. Quintero-Rincón
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  2. M. Pereyra
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  3. Carlos D’Giano
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  4. H. Batatia
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  5. M. Risk
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Corresponding author

Correspondence to A. Quintero-Rincón .

Editor information

Editors and Affiliations

  1. Asociación Colombiana de Bioingeniería y Electrónica Médica - ABIOIN, Bucamaranga, Colombia

    Isnardo Torres

  2. Universidad Pontificia Bolivariana - UPB, Centro de Bioingeniería, Medellín, Colombia

    John Bustamante

  3. Universidad Industrial de Santander, Escuela de Ing. Eléctrica, Electrónica, Bucaramanga, Colombia

    Daniel A. Sierra

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© 2017 Springer Nature Singapore Pte Ltd.

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Quintero-Rincón, A., Pereyra, M., D’Giano, C., Batatia, H., Risk, M. (2017). A visual EEG epilepsy detection method based on a wavelet statistical representation and the Kullback-Leibler divergence. In: Torres, I., Bustamante, J., Sierra, D. (eds) VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016. IFMBE Proceedings, vol 60. Springer, Singapore. https://doi.org/10.1007/978-981-10-4086-3_4

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  • DOI: https://doi.org/10.1007/978-981-10-4086-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4085-6

  • Online ISBN: 978-981-10-4086-3

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