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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...
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| Udgivet i: | Biomed Eng Online |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5568624/ https://ncbi.nlm.nih.gov/pubmed/28830438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-017-0358-3 |
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