Header menu link for other important links
Methodology and system architecture for automated detection of epileptic seizures in the Neonatal EEG
, Glover J.R., Ktonas P.Y., Shastry M., , Muktevi V.
Published in
Volume: 1
Pages: 70 - 71
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.
About the journal
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Open AccessNo