Fast Convolutional Method for Automatic Sleep Stage Classification

OBJECTIVES: Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming. To overcome this problem, we developed a system t...

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Detalles Bibliográficos
Autores principales: Yulita, Intan Nurma, Fanany, Mohamad Ivan, Arymurthy, Aniati Murni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085207/
https://www.ncbi.nlm.nih.gov/pubmed/30109150
http://dx.doi.org/10.4258/hir.2018.24.3.170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085207/
https://www.ncbi.nlm.nih.gov/pubmed/30109150
http://dx.doi.org/10.4258/hir.2018.24.3.170

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