Detection of seizures in newborns using time-frequency analysis of EEG signals

Boualem Boashash, Helen Carson, Mostefa Mesbah

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24 Citations (Scopus)

Abstract

This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.

Original languageEnglish
Pages (from-to)564-568
Number of pages5
JournalIEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Publication statusPublished - 2000

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ASJC Scopus subject areas

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Cite this

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abstract = "This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.",
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