Neonatal seizure detection and localization using time-frequency analysis of multichannel EEG

Khlif, M. S., Mesbah, M., Boashash, B. and Colditz, P. (2007). Neonatal seizure detection and localization using time-frequency analysis of multichannel EEG. In: Signal Processing and Communications, 2007. IEEE International Conference on Signal Processing and Communications (ICSPC 2007), Dubai, United Arab Emirates, (1567-1570). 24-27, November 2007. doi:10.1109/ICSPC.2007.4728632

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Author Khlif, M. S.
Mesbah, M.
Boashash, B.
Colditz, P.
Title of paper Neonatal seizure detection and localization using time-frequency analysis of multichannel EEG
Conference name IEEE International Conference on Signal Processing and Communications (ICSPC 2007)
Conference location Dubai, United Arab Emirates
Conference dates 24-27, November 2007
Proceedings title Signal Processing and Communications, 2007
Journal name Icspc: 2007 Ieee International Conference On Signal Processing and Communications, Vols 1-3, Proceedings
Place of Publication Piscataway, N.J.
Publisher IEEE
Publication Year 2007
Sub-type Fully published paper
DOI 10.1109/ICSPC.2007.4728632
Open Access Status
ISBN 9781424412358
1424412358
Volume 1-3
Start page 1567
End page 1570
Total pages 4
Language eng
Abstract/Summary Contrarily to adults and older children, the clinical signs of seizure in newborns are either subtle or occult. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Given nonstationary and multicomponent EEG signals, time-frequency (TF) based methods were found to be very suitable for the analysis of such signals. The TF domain techniques are utilized to extract TF signatures that are characteristic of EEG seizures. In this paper, multichannel EEG signals are processed using a TF matched filter to detect and to geometrically localize neonatal EEG seizures. The threshold used to distinguish between seizure and nonseizure is data-dependent and is set using the EEG background. Multichannel geometrical correlation, based on a concept of incidence matrix, was utilized to further enhance the performance of the detector.
Subjects 110399 Clinical Sciences not elsewhere classified
0906 Electrical and Electronic Engineering
Keyword Multichannel
EEG
Seizure
Matched filter
Time frequency analysis
Electroencephalography
Medical signal processing
Paediatrics
Q-Index Code E1

 
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Created: Mon, 06 Apr 2009, 19:09:50 EST by Ms Sarada Rao on behalf of Faculty Of Health Sciences