Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

BACKGROUND: Step count is an intuitive measure of physical activity frequently quantified in a range of health-related studies; however, accurate quantification of step count can be difficult in the free-living environment, with step counting error routinely above 20% in both consumer and research-g...

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Detalles Bibliográficos
Autores principales: Small, Scott R., Chan, Shing, Walmsley, Rosemary, von Fritsch, Lennart, Acquah, Aidan, Mertes, Gert, Feakins, Benjamin G., Creagh, Andrew, Strange, Adam, Matthews, Charles E., Clifton, David A., Price, Andrew J., Khalid, Sara, Bennett, Derrick, Doherty, Aiden
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187326/
https://www.ncbi.nlm.nih.gov/pubmed/37205346
http://dx.doi.org/10.1101/2023.02.20.23285750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187326/
https://www.ncbi.nlm.nih.gov/pubmed/37205346
http://dx.doi.org/10.1101/2023.02.20.23285750

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