Newborn EEG seizure detection using optimized time-frequency matched filter

Mesbah, M., Khlif, M., Boashash, B. and Colditz, P. (2007). Newborn EEG seizure detection using optimized time-frequency matched filter. In: Proceedings of the 2007 9th International Symposium on Signal Processing and its Applications. 9th International Symposium on Signal Processing and its Applications (ISSPA 2007), Sharjah, United Arab Emirates, (4555458-1-4555458-4). 12 - 15 February 2007. doi:10.1109/ISSPA.2007.4555458


Author Mesbah, M.
Khlif, M.
Boashash, B.
Colditz, P.
Title of paper Newborn EEG seizure detection using optimized time-frequency matched filter
Conference name 9th International Symposium on Signal Processing and its Applications (ISSPA 2007)
Conference location Sharjah, United Arab Emirates
Conference dates 12 - 15 February 2007
Proceedings title Proceedings of the 2007 9th International Symposium on Signal Processing and its Applications
Journal name 2007 9th International Symposium On Signal Processing and its Applications, Vols 1-3
Place of Publication Los Alamitos, CA, U.S.A.
Publisher I E E E
Publication Year 2007
Year available 2007
Sub-type Fully published paper
DOI 10.1109/ISSPA.2007.4555458
Open Access Status
ISBN 9781424407781
Start page 4555458-1
End page 4555458-4
Total pages 4
Language eng
Abstract/Summary 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.
Subjects 090609 Signal Processing
0903 Biomedical Engineering
Keyword Electroencephalography
Matched filters
Medical signal detection
Obstetrics
Optimisation
Time-frequency analysis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article number 4555458

Document type: Conference Paper
Sub-type: Fully published paper
Collections: Excellence in Research Australia (ERA) - Collection
UQ Centre for Clinical Research Publications
 
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Created: Fri, 27 Mar 2009, 01:56:35 EST by Mary-Anne Marrington on behalf of UQ Centre for Clinical Research