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Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device

Wearable, multisensor, consumer devices that estimate sleep are now commonplace, but the algorithms used by these devices to score sleep are not open source, and the raw sensor data is rarely accessible for external use. As a result, these devices are limited in their usefulness for clinical and res...

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Detalles Bibliográficos
Autores principales: Walch, Olivia, Huang, Yitong, Forger, Daniel, Goldstein, Cathy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930135/
https://www.ncbi.nlm.nih.gov/pubmed/31579900
http://dx.doi.org/10.1093/sleep/zsz180