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...
| Publicado en: | BioMedical Engineering OnLine Vol. 16; pp. 1 - 20 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2017 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |