Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study

BACKGROUND: Nowadays, sleep quality is one of the most important measures of healthy life, especially considering the huge number of sleep-related disorders. Identifying sleep stages using polysomnographic (PSG) signals is the traditional way of assessing sleep quality. However, the manual process o...

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Detalles Bibliográficos
Autores principales: Najdi, Shirin, Gharbali, Ali Abdollahi, Fonseca, José Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568624/
https://www.ncbi.nlm.nih.gov/pubmed/28830438
http://dx.doi.org/10.1186/s12938-017-0358-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568624/
https://www.ncbi.nlm.nih.gov/pubmed/28830438
http://dx.doi.org/10.1186/s12938-017-0358-3

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