Time-frequency extraction of EEG spike events for seizure detection in neonate

Hamid Hassanpour, William Williams, Mostefa Mesbah, Boualem Boashash

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

13 Citations (Scopus)

Abstract

There are a number of approaches for analysing EEG signals in the time, frequency, and time-frequency domains. However due to the nonstationarity of the EEG signals, the time-frequency methods proved to be superior. This paper presents a new method for the detection of newborn EEG seizure activity in the time-frequency domain. The proposed approach utilises 30-second epochs of EEG signal and analyses one frequency slice of their time-frequency representations at about 75 Hz. Spiking activity in these high frequency slices are used to distinguish between seizure and nonseizure activities. Using histograms of intervals between successive spikes, we were able to show the dramatic difference between spikes originating from seizure and those from nonseizure. This finding led to this novel method of seizure detection in newborn babies.

Original languageEnglish
Title of host publication6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
PublisherIEEE Computer Society
Pages246-249
Number of pages4
ISBN (Print)0780367030, 9780780367036
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia
Duration: Aug 13 2001Aug 16 2001

Publication series

Name6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
Volume1

Other

Other6th International Symposium on Signal Processing and Its Applications, ISSPA 2001
Country/TerritoryMalaysia
CityKuala Lumpur
Period8/13/018/16/01

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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