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Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks
The pattern of sleep stages across a night (sleep architecture) is influenced by biological, behavioral, and clinical variables. However, traditional measures of sleep architecture such as stage proportions, fail to capture sleep dynamics. Here we quantify the impact of individual differences on the...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5894981/ https://ncbi.nlm.nih.gov/pubmed/29641599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0194604 |
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