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

Physiological Measurement
Hamid HassanpourB Boashash

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.

References

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Citations

May 28, 2013·Seminars in Fetal & Neonatal Medicine·Geraldine B BoylanSampsa Vanhatalo
Feb 28, 2008·Computational Intelligence and Neuroscience·A T TzallasD I Fotiadis
Mar 27, 2007·Acta Paediatrica·C M L LommenS Bambang Oetomo
Jan 31, 2007·IEEE Transactions on Bio-medical Engineering·Luke RankineBoualem Boashash
Apr 11, 2006·IEEE Transactions on Bio-medical Engineering·Nicolaos B KarayiannisEli M Mizrahi
Apr 20, 2006·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Michael A NavakatikyanChristopher E Williams
Apr 29, 2006·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·G B Boylan, J M Rennie
Jul 30, 2016·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·A H AnsariS Van Huffel
Nov 23, 2018·Journal of Medical Engineering & Technology·A Sharmila
May 12, 2018·International Journal of Neural Systems·Amir H AnsariSabine Van Huffel

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