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rhythmic-discharges-detection
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Detection of rhythmic discharges in newborn EEG signals
, Article 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, 30 August 2006 through 3 September 2006 ; 2006 , Pages 6577-6580 ; 05891019 (ISSN); 1424400325 (ISBN); 9781424400324 (ISBN) ; Mirghasemi, H ; Shamsollahi, M. B ; Zamani, M. R ; Sharif University of Technology
2006
Abstract
This paper presents a scalp electroencephalogram (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. © 2006 IEEE