Quiet sleep detection in preterm infants using deep convolutional neural networks
Objective. Neonates spend most of their time asleep. Sleep of preterm infants evolves rapidly throughout maturation and plays an important role in brain development. Since visual labelling of the sleep stages is a time consuming task, automated analysis of electroencephalography (EEG) to identify sl...
Autores Principales: | , , , , , , , , , |
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Formato: | Artículo (Article) |
Lenguaje: | Inglés (English) |
Publicado: |
Institute of Physics Publishing
2018
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Materias: | |
Acceso en línea: | https://repository.urosario.edu.co/handle/10336/22407 https://doi.org/10.1088/1741-2552/aadc1f |