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

Antonio Quintero-Rincón, M. Pereyra, Carlos D'Giano, H. Batatia, M. Risk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationVII Latin American Congress on Biomedical Engineering
Subtitle of host publicationCLAIB 2016
EditorsIsnardo Torres, John Bustamante, Daniel Sierra
PublisherSpringer
Pages13-16
Number of pages4
ISBN (Electronic)9789811040863
ISBN (Print)9789811040856
DOIs
Publication statusPublished - 7 Apr 2017
Event7th Latin American Congress on Biomedical Engineering 2016 - Bucaramanga, Santander, Colombia
Duration: 26 Oct 201628 Oct 2016

Publication series

NameIFMBE Proceedings
Volume60
ISSN (Print)1680-0737

Conference

Conference7th Latin American Congress on Biomedical Engineering 2016
Abbreviated titleCLAIB 2016
CountryColombia
CityBucaramanga, Santander
Period26/10/1628/10/16

Keywords

  • Epilepsy
  • Generalized Gaussian distribution
  • Kullback-Leibler divergence
  • Multivariate wavelet decomposition
  • Seizure/Non-Seizure

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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