Time–frequency based newborn EEG seizure detection using low and high frequency signatures

Hassanpour, Hamid, Mesbah, Mostefa and Boashash, Boualem (2004) Time–frequency based newborn EEG seizure detection using low and high frequency signatures. Physiological Measurement, 25 4: 935-944. doi:10.1088/0967-3334/25/4/012


Author Hassanpour, Hamid
Mesbah, Mostefa
Boashash, Boualem
Title Time–frequency based newborn EEG seizure detection using low and high frequency signatures
Journal name Physiological Measurement   Check publisher's open access policy
ISSN 0967-3334
Publication date 2004-08-01
Sub-type Article (original research)
DOI 10.1088/0967-3334/25/4/012
Volume 25
Issue 4
Start page 935
End page 944
Total pages 10
Place of publication Bristol, England
Publisher Institute of Physics Publishing
Language eng
Subject 090609 Signal Processing
0903 Biomedical Engineering
Abstract The nonstationary and multicomponent nature of newborn EEG seizures tend to increase the complexity of the seizure detection problem. In dealing with this type of problem, time–frequency based techniques were shown to outperform classical techniques. Neonatal EEG seizures have signatures in both low frequency (lower than 10 Hz) and high frequency (higher than 70 Hz) areas. Seizure detection techniques have been proposed that concentrate on either low frequency or high frequency signatures of seizures. They, however, tend to miss seizures that reveal themselves only in one of the frequency areas. To overcome this problem, we propose a detection method that uses time–frequency seizure features extracted from both low and high frequency areas. Results of applying the proposed method on five newborn EEGs are very encouraging.
Keyword EEG seizure detection
spike detection
time–frequency
singular vector
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Medicine Publications
 
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