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A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers

Consumer wearable activity trackers, such as Fitbit are widely used in ubiquitous and longitudinal sleep monitoring in free-living environments. However, these devices are known to be inaccurate for measuring sleep stages. In this study, we develop and validate a novel approach that leverages the pr...

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Detalles Bibliográficos
Autores principales: Liang, Zilu, Chapa-Martell, Mario Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521802/
https://www.ncbi.nlm.nih.gov/pubmed/34713139
http://dx.doi.org/10.3389/fdgth.2021.665946