Methodology and system architecture for automated detection of epileptic seizures in the neonatal EEG

J.R Glover,M Shastry,A Thitai Kumar,V.M Muktevi,P.Y Ktonas

doi:10.1109/iembs.2002.1134392

Methodology and system architecture for automated detection of epileptic seizures in the neonatal EEG

J.R Glover, M Shastry + Show 3 more

https://doi.org/10.1109/iembs.2002.1134392

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Publication Date: Oct 23, 2002

Citations: 8

Affiliation: University of Houston

#Detection Of Seizures In EEG #Neonatal EEG + Show 8 more

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Abstract

The automated detection of electrographic seizures in the neonatal EEG is a difficult, unsolved problem because of the variety of seizure patterns and the large number of seizure-like artifacts and non-seizure rhythmic EEG events. In this paper we present an architecture and methodology for such a detection system designed around a combination of signal processing, pattern recognition, heuristic rules, and neural networks. We believe that this hybrid approach offers the best chance for reliable automated detection of neonatal seizures.

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