Benchmark on a large cohort for sleep-wake classification with machine learning techniques

Accurately measuring sleep and its quality with polysomnography (PSG) is an expensive task. Actigraphy, an alternative, has been proven cheap and relatively accurate. However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of th...

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Detalles Bibliográficos
Autores principales: Palotti, Joao, Mall, Raghvendra, Aupetit, Michael, Rueschman, Michael, Singh, Meghna, Sathyanarayana, Aarti, Taheri, Shahrad, Fernandez-Luque, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555808/
https://www.ncbi.nlm.nih.gov/pubmed/31304396
http://dx.doi.org/10.1038/s41746-019-0126-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555808/
https://www.ncbi.nlm.nih.gov/pubmed/31304396
http://dx.doi.org/10.1038/s41746-019-0126-9

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