Multichannel-Based Newborn EEG Seizure Detection using Time-Frequency Matched Filter

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Multichannel-Based Newborn EEG Seizure Detection using Time-Frequency Matched Filter

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Title: Multichannel-Based Newborn EEG Seizure Detection using Time-Frequency Matched Filter
Author: Khlif, M. S.; Mesbah, M; Boashash, B; Colditz, P
Abstract: In recent years, much effort has been made toward developing computerized methods to detect seizures. In adults, the clinical signs of seizures are well defined and easily recognizable. But in newborns, these signs are either subtle or completely absent. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Considering the non-stationary and multicomponent nature of the EEG signals, timefrequency (TF) based methods were found to be very suitable for the analysis of such signals. Using TF representation of EEG signals allows extracting TF signatures that are characteristic of EEG seizures. In this paper we present a TF method for newborn EEG seizure detection using a TF matched filter. The threshold used to distinguish between seizure and nonseizure is data-dependent and is set using the EEG background. Multichannel geometrical correlation, based on a concept of incidence matrix, was utilized to further enhance the performance of the detector.
Description: This paper proposes a TF matched filter using a 10 s duration simpler template to detect newborn EEG data for reducing both the computational cost and the rate of false positive (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated).
URI: http://hdl.handle.net/10576/10878
Date: 2007

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