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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...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2011
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| Materias: | |
| 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 |