Laboratory-based and free-living algorithms for energy expenditure estimation in preschool children: A free-living evaluation

Machine learning models to predict energy expenditure (EE) from accelerometer data have traditionally been trained on data from laboratory-based activity trials. However, accuracy is typically attenuated when implemented in free-living scenarios. Currently, no studies involving preschool children ha...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahmadi, Matthew N., Chowdhury, Alok, Pavey, Toby, Trost, Stewart G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239487/
https://www.ncbi.nlm.nih.gov/pubmed/32433717
http://dx.doi.org/10.1371/journal.pone.0233229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239487/
https://www.ncbi.nlm.nih.gov/pubmed/32433717
http://dx.doi.org/10.1371/journal.pone.0233229

Ejemplares similares