A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG

Boashash, Boualem and Azemi, Ghasem (2014) A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG. Digital Signal Processing: A Review Journal, 28 1: 28-38. doi:10.1016/j.dsp.2014.02.007


Author Boashash, Boualem
Azemi, Ghasem
Title A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
Journal name Digital Signal Processing: A Review Journal   Check publisher's open access policy
ISSN 1051-2004
1095-4333
Publication date 2014-05-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.dsp.2014.02.007
Volume 28
Issue 1
Start page 28
End page 38
Total pages 11
Place of publication Waltham, MA, United States
Publisher Academic Press
Language eng
Abstract This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn seizure using multichannel EEG signals. The solution reduces to two possible t-f approaches that use a general formulation of t-f matched filters (TFMFs) based on the Wigner-Ville and cross Wigner-Ville distributions, and a third new approach based on the signal ambiguity domain representation; referred to as Radon-ambiguity detector. This contribution defines a general design formulation and then implements it for newborn seizure detection using multichannel EEG signals. Finally, the performance of different TFMFs is evaluated for different t-f kernels in terms of classification accuracy using real newborn EEG signals. Experimental results show that the detection method which uses TFMFs based on the cross Wigner-Ville distribution outperforms other approaches including the existing TFMF-based ones. The results also show that TFMFs which use high-resolution kernels such as the modified B-distribution, achieve higher detection accuracies compared to the ones which use other reduced-interference t-f kernels.
Keyword Matched filter
Multichannel EEG
Newborn seizure detection
Time-frequency analysis
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 2015 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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