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Neonatal EEG Seizure Detection Using a Time-Frequency Matched Filter with a Reduced Template Set

O'Toole, John, Mesbah, Mostefa, & Boashash, Boualem (2005) Neonatal EEG Seizure Detection Using a Time-Frequency Matched Filter with a Reduced Template Set. In Eighth International Symposium on Signal Processing and Its Applications, 2005, August/September 2005, Sydney, Australia.

Abstract

Electroencephalographic (EEG) recordings are an important diagnostic resource in determining the presence or absence of clinical seizures in neonates. These nonstationary signals require some form of nonstationary analysis to detect seizures in the EEG data. A time-frequency (TF) matched lter has been previously proposed to detect seizures in both adult and newborn EEG. A method which constructs a reference or template set from a feature of EEG seizures, rather than the whole EEG seizure, displayed the most promising results. However this method suffered from an inability to adequately represent patient variability in the template set while simultaneously maintaining a low false detection rate. A new method of the TF matched lter is proposed that halves the template set required by approximating the templates with a more general ambiguity domain function representation. This proposed method is also less sensitive to false detections when a larger reference set is used, as evidenced by the ndings on both simulated and real neonatal EEG.

Impact and interest:

3 citations in Scopus
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ID Code: 2596
Item Type: Conference Paper
Additional URLs:
Keywords: Neonatal EEG, time, frequency, matched filter, ambiguity domain, seizure
ISBN: 0780392434
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyyright 2005 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 18 Nov 2005
Last Modified: 09 Jun 2010 22:28

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