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
Open Access Status Not yet assessed
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
Subject 1711 Signal Processing
2208 Electrical and Electronic Engineering
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 9 times in Thomson Reuters Web of Science Article | Citations
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