Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation

BACKGROUND: The proliferation of wearable devices that collect activity and heart rate data has facilitated new ways to measure sleeping and waking durations unobtrusively and longitudinally. Most existing sleep/wake identification algorithms are based on activity only and are trained on expensive a...

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Detalles Bibliográficos
Autores principales: Liu, Jiaxing, Zhao, Yang, Lai, Boya, Wang, Hailiang, Tsui, Kwok Leung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439146/
https://www.ncbi.nlm.nih.gov/pubmed/32755887
http://dx.doi.org/10.2196/18370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439146/
https://www.ncbi.nlm.nih.gov/pubmed/32755887
http://dx.doi.org/10.2196/18370

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