A review of techniques for automatic detection of neonatal seizure using EEG

N. Ryan, M. Mesbah, B. Boashash

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

Abstract

This investigation is part of a major project of the Signal Processing Research Centre (SPRC) to develop a technique to automatically detect epileptic seizure in newborns using EEG. Currently there are three published techniques under examination by the SPRC that aim to achieve this. The technique of Roessgen et al. (1998) is model based and uses parameter estimation for detection. The two other methods are non-parametric. The technique of Gotman et al. (1997) uses frequency analysis to detect changes in the dominant peak of the frequency spectrum of short epochs of EEG data. The technique of Liu et al. (1992) performs analysis in the time domain and is based on the autocorrelation function of short epochs of EEG data. Despite varying approaches, the techniques investigated here all attempt to detect periodicity in the EEG. This periodicity is the main characteristic of EEG seizure waveforms. The underlying methodologies of the three published techniques are discussed. Implementation of the three techniques is also discussed. Further work will involve the comparison of the three implementations on a common set of neonatal EEG recordings. It is anticipated that time-frequency analysis of neonatal EEG will be pursued as the basis for future detection techniques.

Original languageEnglish
Title of host publicationISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
PublisherIEEE Computer Society
Pages239-242
Number of pages4
Volume1
ISBN (Print)1864354518, 9781864354515
DOIs
Publication statusPublished - 1999
Event5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 - Brisbane, QLD, Australia
Duration: Aug 22 1999Aug 25 1999

Other

Other5th International Symposium on Signal Processing and Its Applications, ISSPA 1999
CountryAustralia
CityBrisbane, QLD
Period8/22/998/25/99

Fingerprint

Electroencephalography
Signal processing
Autocorrelation
Parameter estimation

ASJC Scopus subject areas

  • Signal Processing

Cite this

Ryan, N., Mesbah, M., & Boashash, B. (1999). A review of techniques for automatic detection of neonatal seizure using EEG. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications (Vol. 1, pp. 239-242). [818157] IEEE Computer Society. https://doi.org/10.1109/ISSPA.1999.818157

A review of techniques for automatic detection of neonatal seizure using EEG. / Ryan, N.; Mesbah, M.; Boashash, B.

ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications. Vol. 1 IEEE Computer Society, 1999. p. 239-242 818157.

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

Ryan, N, Mesbah, M & Boashash, B 1999, A review of techniques for automatic detection of neonatal seizure using EEG. in ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications. vol. 1, 818157, IEEE Computer Society, pp. 239-242, 5th International Symposium on Signal Processing and Its Applications, ISSPA 1999, Brisbane, QLD, Australia, 8/22/99. https://doi.org/10.1109/ISSPA.1999.818157
Ryan N, Mesbah M, Boashash B. A review of techniques for automatic detection of neonatal seizure using EEG. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications. Vol. 1. IEEE Computer Society. 1999. p. 239-242. 818157 https://doi.org/10.1109/ISSPA.1999.818157
Ryan, N. ; Mesbah, M. ; Boashash, B. / A review of techniques for automatic detection of neonatal seizure using EEG. ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications. Vol. 1 IEEE Computer Society, 1999. pp. 239-242
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