Detection of neonatal EEG seizure using multichannel matching pursuit

Khlif, M. S., Mesbah, M., Boashash, B. and Colditz, P. (2008). Detection of neonatal EEG seizure using multichannel matching pursuit. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-8. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, Canada, (907-910). 20-24 Augus 2008. doi:10.1109/IEMBS.2008.4649301


Author Khlif, M. S.
Mesbah, M.
Boashash, B.
Colditz, P.
Title of paper Detection of neonatal EEG seizure using multichannel matching pursuit
Conference name 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Conference location Vancouver, Canada
Conference dates 20-24 Augus 2008
Proceedings title 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-8   Check publisher's open access policy
Journal name 2008 30th Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Vols 1-8   Check publisher's open access policy
Place of Publication New York, NY, U.S.A.
Publisher IEEE
Publication Year 2008
Sub-type Fully published paper
DOI 10.1109/IEMBS.2008.4649301
ISBN 9781424418145
ISSN 1557-170X
Start page 907
End page 910
Total pages 4
Language eng
Formatted Abstract/Summary
It is unusual for a newborn to have the classic "tonic-clonic" seizure experienced by adults and older children. Signs of seizure in newborns are either subtle or may become clinically silent. Therefore, the electroencephalogram (EEG) is becoming the most reliable too] for detecting neonatal seizure. Being non-stationary and multicomponent, EEG signals are suitably analyzed using time-frequency (TF) based methods. In this paper, we present a seizure detection method using a new measure based on the matching pursuit (MP) decomposition of EEG data. Signals are represented in the TF domain where seizure structural characteristics are extracted to form a new coherent TF dictionary to be used in the MP decomposition. A new approach to set data-dependent thresholds, used in the seizure detection process, is proposed. To enhance the performance of the detector, the concept of areas of incidence is utilized to determine the geometrical correlation between EEG recording channels.
©2008 IEEE
Subjects 0903 Biomedical Engineering
110399 Clinical Sciences not elsewhere classified
Keyword Newborns
EEG
Neonatal seizures
Seizure detection
Q-Index Code E1
Q-Index Status Provisional Code
Additional Notes Series: IEEE Engineering in Medicine and Biology Society Conference Proceedings.

 
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Created: Wed, 17 Feb 2010, 12:59:37 EST by Tara Johnson on behalf of Faculty Of Health Sciences