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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| 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 |