Comparative performance of time-frequency based newborn EEG seizure detection using spike signatures

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Comparative performance of time-frequency based newborn EEG seizure detection using spike signatures

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dc.contributor.author Hassanpour, H
dc.contributor.author Mesbah, M
dc.contributor.author Boashash, B
dc.date.accessioned 2012-06-19T06:06:50Z
dc.date.available 2012-06-19T06:06:50Z
dc.date.issued 2003
dc.identifier.citation H. Hassanpour, M. Mesbah, and B. Boashash, "Comparative performance of time-frequency based newborn EEG seizure detection using spike signatures," in Proc. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), Hong Kong, April 2003, vol. 2, pp. II-389-92 en_US
dc.identifier.uri http://dx.doi.org/10.1109/ICASSP.2003.1202379
dc.identifier.uri http://hdl.handle.net/10576/10862
dc.description.abstract This paper investigates the performance of four nonparametric newborn EEG seizure detection methods. The authors recently proposed a time-frequency (TF) based technique suitable for nonstationarity of EEG signal. This method attempts to detect seizure activities through analysing the interspike intervals of the EEG in the TF domain. The performance of this method is compared to those of three nonparametric techniques for seizure detection. These methods are: autocorrelation, spectrum and singular spectrum analysis (SSA). The autocorrelation method performs analysis in the time domain and is based on the autocorrelation function of short epochs of EEG data. The spectrum technique is based on spectral analysis and is used to detect periodic discharges. The SSA technique employs singular spectrum analysis and information theoretic-based selection of the signal subspace. These three methods are based on the assumption that newborn EEG signal is quasi-stationary. The obtained results show the superior performance of the TF-based technique for detecting newborn EEG seizures. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title Comparative performance of time-frequency based newborn EEG seizure detection using spike signatures en_US
dc.type Article en_US

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