A transition-constrained discrete hidden Markov model for automatic sleep staging

BACKGROUND: Approximately one-third of the human lifespan is spent sleeping. To diagnose sleep problems, all-night polysomnographic (PSG) recordings including electroencephalograms (EEGs), electrooculograms (EOGs) and electromyograms (EMGs), are usually acquired from the patient and scored by a well...

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Detalles Bibliográficos
Autores principales: Pan, Shing-Tai, Kuo, Chih-En, Zeng, Jian-Hong, Liang, Sheng-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462123/
https://www.ncbi.nlm.nih.gov/pubmed/22908930
http://dx.doi.org/10.1186/1475-925X-11-52

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462123/
https://www.ncbi.nlm.nih.gov/pubmed/22908930
http://dx.doi.org/10.1186/1475-925X-11-52

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