A new neonatal seizure detection technique based on the time-frequency characteristics of the electroencephalogram

John M. O'Toole, Mostefa Mesbah, Boualem Boashash, Paul Coldiiz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The electroencephalogram (EEG) is an important tool in determining the presence or absence of clinical seizures in neonates. The design of an efficient automated EEG seizure detection method suitable for use in the clinical environment would be beneficial. Existing methods include a time-frequency (TF) matched filter approach, which correlates TF seizure templates with time-frequency distributions (TFDs) of the EEG to detect seizure. A major problem with this method is the pre-selection of a template set that adequately represents all different TFD seizure types. To overcome this problem, a new method is proposed that applies the TF matched filter but eliminates the need for a predefined template set. Preliminary results are presented for both real and simulated EEG data.

Original languageEnglish
Title of host publication2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs
Publication statusPublished - 2007
Event2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates
Duration: Feb 12 2007Feb 15 2007

Other

Other2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
CountryUnited Arab Emirates
CitySharjah
Period2/12/072/15/07

ASJC Scopus subject areas

  • Signal Processing

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    O'Toole, J. M., Mesbah, M., Boashash, B., & Coldiiz, P. (2007). A new neonatal seizure detection technique based on the time-frequency characteristics of the electroencephalogram. In 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings [4555347] https://doi.org/10.1109/ISSPA.2007.4555347