A time-frequency approach for newborn seizure detection

QSpace/Manakin Repository

A time-frequency approach for newborn seizure detection

Show full item record


Title: A time-frequency approach for newborn seizure detection
Author: Boashash, Boualem; Mesbah, Mostefa
Abstract: Techniques previously designed for seizure detection in newborns using the electroencephalogram (EEG) have been relatively inefficient due to their assumption of local stationarity of the EEG. To overcome the problem raised by the nonstationarity of the EEG signal, current methods are extended to a time-frequency approach. This allows the analysis and characterization of the different newborn EEG patterns that are intended to be the first step toward an automatic time-frequency seizure detection and classification. An in-depth analysis of both the autocorrelation and spectrum seizure detection techniques identified the detection criteria that can be extended to the time-frequency domain. The selected method uses a high-resolution reduced interference time-frequency distribution referred to as the B-distribution (BD). Here, the authors present the various patterns of observed time-frequency seizure signals and relate them to current knowledge of seizures. In particular, initial results indicate that a quasilinear instantaneous frequency (IF) can be used as a critical feature of the EEG seizure characteristics.
Description: A time-frequency approach to newborn EEG seizure detection shows that seizures can be modeled as piece-wise linear FM signals.
URI: http://hdl.handle.net/10576/10673
Date: 2001-09

Files in this item

Files Size Format View
Boashash-Mesbah ... born seizure detection.pdf 12.30Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Search QSpace


Advanced Search

Browse

My Account