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Gaussian mixture models for classification of neonatal seizures using EEG
A real-time neonatal seizure detection system is proposed based on a Gaussian mixture model classifier. The system includes feature transformation techniques and classifier output postprocessing. The detector was evaluated on a database of 20 patients with 330 hours of recordings. A detailed analysi...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2010
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3428723/ https://ncbi.nlm.nih.gov/pubmed/20585148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0967-3334/31/7/013 |
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