Newborn EEG seizure detection using optimized time-frequency matched filter

M. Mesbah, M. Khlif, B. Boashash, P. Colditz

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

2 Citations (Scopus)

Abstract

In recent years, much effort has been made toward developing computerized methods to detect seizures. In adults, the clinical signs of seizures are well defined and easily recognizable. This is, however, not the case for newborns where the clinical signs are either subtle or completely absent. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Considering the non-stationary and multicomponent nature of the EEG signals, time-frequency (TF) based methods were found to be very suitable for the analysis of such signals. Using TF representation of EEG signals allows extracting TF signatures that are characteristic of EEG seizures. In this paper we present a TF method for newborn EEG seizure detection using a TF matched filter. The TF signatures of EEG seizures are used to construct time-frequency templates that are used by the matched filter to detect EEG seizures. The results obtained so far are very promising.

Original languageEnglish
Title of host publication2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs
Publication statusPublished - 2007
Event2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates
Duration: Feb 12 2007Feb 15 2007

Other

Other2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
CountryUnited Arab Emirates
CitySharjah
Period2/12/072/15/07

Fingerprint

Matched filters
Electroencephalography

ASJC Scopus subject areas

  • Signal Processing

Cite this

Mesbah, M., Khlif, M., Boashash, B., & Colditz, P. (2007). Newborn EEG seizure detection using optimized time-frequency matched filter. In 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings [4555458] https://doi.org/10.1109/ISSPA.2007.4555458

Newborn EEG seizure detection using optimized time-frequency matched filter. / Mesbah, M.; Khlif, M.; Boashash, B.; Colditz, P.

2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555458.

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

Mesbah, M, Khlif, M, Boashash, B & Colditz, P 2007, Newborn EEG seizure detection using optimized time-frequency matched filter. in 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings., 4555458, 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Sharjah, United Arab Emirates, 2/12/07. https://doi.org/10.1109/ISSPA.2007.4555458
Mesbah M, Khlif M, Boashash B, Colditz P. Newborn EEG seizure detection using optimized time-frequency matched filter. In 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555458 https://doi.org/10.1109/ISSPA.2007.4555458
Mesbah, M. ; Khlif, M. ; Boashash, B. ; Colditz, P. / Newborn EEG seizure detection using optimized time-frequency matched filter. 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007.
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