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Extraction of features from sleep EEG for Bayesian assessment of brain development
Brain development can be evaluated by experts analysing age-related patterns in sleep electroencephalograms (EEG). Natural variations in the patterns, noise, and artefacts affect the evaluation accuracy as well as experts’ agreement. The knowledge of predictive posterior distribution allows experts...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360314/ https://www.ncbi.nlm.nih.gov/pubmed/28323852 http://dx.doi.org/10.1371/journal.pone.0174027 |