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This paper presents a scalp eletroencephalogram (EEG) rhythmic pattern detection scheme based on neural networks. rhythmic discharges detection is applicable to the majority of seizures seen in newborns, and is listed as detecting 90% of all the seizures. In this approach some features based on various methods are extracted and compared by a modified multilayer neural network in order to find rhythmic discharges. Statistical performance comparison with seizure detection schemes of Gotman et al. and Liu et al. is performed.

Original publication

DOI

10.1109/IEMBS.2006.260892

Type

Journal article

Journal

Conf Proc IEEE Eng Med Biol Soc

Publication Date

2006

Volume

Suppl

Pages

6577 - 6580

Keywords

Electroencephalography, Humans, Infant, Newborn, Models, Biological, Periodicity, Seizures, Signal Processing, Computer-Assisted