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Manual Annotation of Time in Bed Using Free-Living Recordings of Accelerometry Data

With the emergence of machine learning for the classification of sleep and other human behaviors from accelerometer data, the need for correctly annotated data is higher than ever. We present and evaluate a novel method for the manual annotation of in-bed periods in accelerometer data using the open...

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Detalles Bibliográficos
Autores principales:	Skovgaard, Esben Lykke, Pedersen, Jesper, Møller, Niels Christian, Grøntved, Anders, Brønd, Jan Christian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707394/ https://www.ncbi.nlm.nih.gov/pubmed/34960533 http://dx.doi.org/10.3390/s21248442

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