Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods

PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data. METHODS: Thirty breast cancer survivors concurrently wore a hip-worn accelerometer and a thigh-worn activ...

Descripción completa

Detalles Bibliográficos
Autores principales: KERR, JACQUELINE, CARLSON, JORDAN, GODBOLE, SUNEETA, CADMUS-BERTRAM, LISA, BELLETTIERE, JOHN, HARTMAN, SHERI
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
SPECIAL COMMUNICATIONS: Methodological Advances
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023581/
https://www.ncbi.nlm.nih.gov/pubmed/29443824
http://dx.doi.org/10.1249/MSS.0000000000001578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023581/
https://www.ncbi.nlm.nih.gov/pubmed/29443824
http://dx.doi.org/10.1249/MSS.0000000000001578

Ejemplares similares