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A comparison of generative and discriminative approaches in automated neonatal seizure detection

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Abstract

Two systems based on different classifiers are compared for the task of neonatal seizure detection. Support vector machines and Gaussian mixture models are presented as examples of discriminative and generative approaches to classification. The performance of both systems is assessed using a number of metrics, the results of which indicate that both systems are competitive with other detectors in the literature. Finally, misclassified events are analysed, from which specific patterns affecting the performance of the detector are identified.

Original languageEnglish
Title of host publicationWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
Pages181-186
Number of pages6
DOIs
Publication statusPublished - 2009
EventWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Budapest, Hungary
Duration: 26 Aug 200928 Aug 2009

Publication series

NameWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings

Conference

ConferenceWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing
Country/TerritoryHungary
CityBudapest
Period26/08/0928/08/09

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