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

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

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dc.contributor.author Hassanpour, H
dc.contributor.author Mesbah, M
dc.contributor.author Boashash, B
dc.date.accessioned 2011-10-19T05:20:58Z
dc.date.available 2011-10-19T05:20:58Z
dc.date.issued 2004-08
dc.identifier.citation Volume 25 Number 4 en_US
dc.identifier.other doi:10.1088/0967-3334/25/4/012
dc.identifier.uri http://hdl.handle.net/10576/10764
dc.description This paper shows that the time–frequency approaches, developed in this paper, have superior performance than the other approaches in detecting newborn EEG seizures, when using both low and high frequency and for the purpose of improving the seizure detection performance. (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). en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Physiological Measurement en_US
dc.subject EEG seizure detection en_US
dc.subject newborn EEG en_US
dc.subject time-frequency distributions en_US
dc.subject quadratic TFDs en_US
dc.subject time-frequency analysis en_US
dc.subject WVD en_US
dc.subject MBD en_US
dc.subject Modified B distribution en_US
dc.subject SVD en_US
dc.subject EEG low-frequency en_US
dc.subject EEG high frequency en_US
dc.subject non-stationary en_US
dc.subject spike detection en_US
dc.subject time–frequency en_US
dc.subject singular vector en_US
dc.title Time–frequency based newborn EEG seizure detection using low and high frequency signatures en_US
dc.type Article en_US

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