Effective implementation of time-frequency matched filter with adapted pre and postprocessing for data-dependent detection of newborn seizures

Khlif, M. S., Colditz, P. B. and Boashash, B. (2013) Effective implementation of time-frequency matched filter with adapted pre and postprocessing for data-dependent detection of newborn seizures. Medical Engineering & Physics, 35 12: 1762-1769. doi:10.1016/j.medengphy.2013.07.005


Author Khlif, M. S.
Colditz, P. B.
Boashash, B.
Title Effective implementation of time-frequency matched filter with adapted pre and postprocessing for data-dependent detection of newborn seizures
Journal name Medical Engineering & Physics   Check publisher's open access policy
ISSN 1350-4533
1873-4030
Publication date 2013-12-01
Sub-type Article (original research)
DOI 10.1016/j.medengphy.2013.07.005
Open Access Status Not Open Access
Volume 35
Issue 12
Start page 1762
End page 1769
Total pages 8
Place of publication Camden, London, United Kingdom
Publisher Elsevier
Language eng
Formatted abstract
Neonatal EEG seizures often manifest as nonstationary and multicomponent signals, necessitating analysis in the time–frequency (TF) domain. This paper presents a novel neonatal seizure detector based on effective implementation of the TF matched filter. In the detection process, the TF signatures of EEG seizure are extracted to construct the TF templates used by the matched filter. Matching pursuit (MP) decomposition and narrowband filtering are proposed for the reduction of artifacts prior to seizure detection. Geometrical correlation is used to consolidate the multichannel detections and to reduce the number of false detections due to remnant artifacts. A data-dependent threshold is defined for the classification of EEG. Using 30 newborn EEG records with seizures, the classification process yielded an overall detection accuracy of 92.4% with good detection rate (GDR) of 84.8% and false detection rate of 0.36 FD/h. Better detection performance (accuracy >95%) was recorded for relatively long EEG records with short seizure events.
Keyword EEG
Matched filter
Neonatal seizure detection
Time–frequency analysis
Time–frequency distribution
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2014 Collection
School of Medicine Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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Created: Mon, 16 Dec 2013, 19:31:38 EST by Roheen Gill on behalf of UQ Centre for Clinical Research