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Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population

Accelerometers are widely used to measure physical activity behaviour, including in children. The traditional method for processing acceleration data uses cut points to define physical activity intensity, relying on calibration studies that relate the magnitude of acceleration to energy expenditure....

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Detalles Bibliográficos
Autores principales: Thornton, Christopher B., Kolehmainen, Niina, Nazarpour, Kianoush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075441/
https://www.ncbi.nlm.nih.gov/pubmed/37018183
http://dx.doi.org/10.1371/journal.pdig.0000220