Time-frequency extraction of EEG spike events for seizure detection in neonate

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Time-frequency extraction of EEG spike events for seizure detection in neonate

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Title: Time-frequency extraction of EEG spike events for seizure detection in neonate
Author: Hassanpour, H; Williams, W; Mesbah, M; Boashash, B
Abstract: There are a number of approaches for analysing EEG signals in the time, frequency, and time-frequency domains. However due to the nonstationarity of the EEG signals, the time-frequency methods proved to be superior. This paper presents a new method for the detection of newborn EEG seizure activity in the time-frequency domain. The proposed approach utilises 30-second epochs of EEG signal and analyses one frequency slice of their time-frequency representations at about 75 Hz. Spiking activity in these high frequency slices are used to distinguish between seizure and nonseizure activities. Using histograms of intervals between successive spikes, we were able to show the dramatic difference between spikes originating from seizure and those from nonseizure. This finding led to this novel method of seizure detection in newborn babies.
Description: This paper presents a new approach for seizure detection in the EEG signal of neonates, using spike event intervals in the time-frequency domain as a criterion for analysing brain activity (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/10576/10747
Date: 2001

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