Comparing two time-scale and time-frequency based methods in newborns' EEG seizure detection

Pega Zarjam, Mostefa Mesbah, Boualem Boashash

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

1 Citation (Scopus)

Abstract

In this research, two different approaches for detecting seizure patterns in newborns' Electroencephalogram (EEG) signals are compared. The first proposed approach is a time-frequency (TF) based method, in which, the discrimination between seizure and non-seizure states is based on the TF distance between the consequent segments in the EEG signal. Three different TF measures and three different reduced time-frequency distributions (TFD) are used in this study. The second proposed approach is a discrete wavelet transform (DWT) based method, in which, the detection scheme is based on observing the changing behavior of few statistical quantities of the wavelet coefficients (WCs) of the EEGs at various scales. These statistics form a feature set which is fed into an artificial neural network (ANN) classifier to organize the EEG signals into seizure and non-seizure activities. The proposed methods are tested on the EEG data acquired from three neonates with ages under two weeks. The empirical results validate the suitability of the two proposed methods in automated newborns' seizure detection. The results present an average seizure detection rate (SDR) of 96% and false alarm rate (FAR) of 5% using Kullback-Leibler measure which outperforms the other two distance measures and the DWT based method.

Original languageEnglish
Title of host publicationICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages1579-1582
Number of pages4
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai, United Arab Emirates
Duration: Nov 14 2007Nov 27 2007

Other

Other2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
CountryUnited Arab Emirates
CityDubai
Period11/14/0711/27/07

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Keywords

  • Discrete wavelet transform
  • EEG
  • Reduced interference distributions
  • Seizure
  • Time-scale/frequency

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Communication

Cite this

Zarjam, P., Mesbah, M., & Boashash, B. (2007). Comparing two time-scale and time-frequency based methods in newborns' EEG seizure detection. In ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications (pp. 1579-1582). [4728635] https://doi.org/10.1109/ICSPC.2007.4728635