EEG-based neonatal seizure detection with Support Vector Machines

OBJECTIVE: The study presents a multi-channel patient-independent neonatal seizure detection system based on the Support Vector Machine (SVM) classifier. METHODS: A machine learning algorithm (SVM) is used as a classifier to discriminate between seizure and non-seizure EEG epochs. Two post-processin...

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Detalles Bibliográficos
Autores principales: Temko, A., Thomas, E., Marnane, W., Lightbody, G., Boylan, G.
Formato: Texto
Lenguaje:English
Publicado: Elsevier 2011
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036797/
https://www.ncbi.nlm.nih.gov/pubmed/20713314
http://dx.doi.org/10.1016/j.clinph.2010.06.034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036797/
https://www.ncbi.nlm.nih.gov/pubmed/20713314
http://dx.doi.org/10.1016/j.clinph.2010.06.034

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