Machine Learning Models for Weight-Bearing Activity Type Recognition Based on Accelerometry in Postmenopausal Women

Hip-worn triaxial accelerometers are widely used to assess physical activity in terms of energy expenditure. Methods for classification in terms of different types of activity of relevance to the skeleton in populations at risk of osteoporosis are not currently available. This publication aims to as...

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Detalles Bibliográficos
Autores principales: Huggins, Cameron J., Clarke, Rebecca, Abasolo, Daniel, Gil-Rey, Erreka, Tobias, Jonathan H., Deere, Kevin, Allison, Sarah J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740741/
https://www.ncbi.nlm.nih.gov/pubmed/36501877
http://dx.doi.org/10.3390/s22239176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740741/
https://www.ncbi.nlm.nih.gov/pubmed/36501877
http://dx.doi.org/10.3390/s22239176

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