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Analysis of Electroencephalogram on Children with Epilepsy Using Global Wavelet Spectrum

  • Salko Zahirović
  • Nedis Dautbašić
  • Maja Muftić DedovićEmail author
  • Smail Zubčević
  • Samir Avdaković
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 3)

Abstract

The electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain and is used as the method of choice for the diagnosis of epilepsy. Nowadays, we can find dozens of EEG signal analysis papers using mathematical approach and with a focus on identification of epilepsy. This paper presents some results relating to the analysis of EEG on children using the Global Wavelet Spectrum (GWS). The signals are analyzed and collected on the UKCS during 2015 and 2016 using GWS. To be able to make comparison, EEG signals are gathered from both patients with and without epilepsy. Using this approach it is possible to clearly differentiate patients with a diagnosis of epilepsy from healthy ones.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Salko Zahirović
    • 1
  • Nedis Dautbašić
    • 1
  • Maja Muftić Dedović
    • 1
    Email author
  • Smail Zubčević
    • 1
  • Samir Avdaković
    • 1
  1. 1.University of SarajevoSarajevoBosnia and Herzegovina

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