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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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 |