Children or Adolescents

Aittasalo, 2015- cut-points for mean amplitude deviation in adolescents wearing Hookie or ActiGraph monitors at the hip

Bianchim, 2022- cut-points for Euclidean norm minus one and mean amplitude deviation for monitors worn at the right hip and each wrist in children and adolescents with and without cystic fibrosis

Brandes, 2012- activity-specific linear regression equations for predicting energy expenditure during walking, cycling, and stair walking in children and adults using acceleration measured by a Dynaport on the lower back

Brønd, 2019- six sets of cut-points for non-proprietary counts from children wearing an ActiGraph on the right hip

Choi, 2010- five prediction models for energy expenditure in adolescents using ActiGraph counts from the hip, wrist, or ankle

Crotti, 2020- cut-points for Euclidean norm minus one from ActiGraph worn on right hip and each wrist in children

Crouter, 2012- a 2-regression model for hip-worn ActiGraph counts in children

Crouter, 2018- a 2-regression model for ankle-worn ActiGraph counts in children

Heil, 2006- single and 2-regression models for predicting activity energy expenditure in children and adults wearing an Actical accelerometer on the right hip or non-dominant ankle or wrist

Hibbing, 2018- four Sojourn models to predict energy expenditure of children using hip- or wrist-worn ActiGraph counts or Euclidean norm minus one

Hikihara, 2014- a 2-regression model to predict energy expenditure in children wearing a waist-worn Omron accelerometer

Hildebrand, 2014- calculates Euclidean norm minus one from raw acceleration data of hip or non-dominant wrist-worn ActiGraph or GENEActivs with energy expenditure equations and activity intensity cut-points for children and adults

Jimmy, 2013- overall linear regression model, and a cubic 2-regression model and linear 2-regression model with separate equations for locomotor and play activities to predict energy expenditure in children wearing an ActiGraph on the hip

Mackintosh, 2016- thirteen machine learning models to predict energy expenditure in children using count data from ActiGraphs on chest, both hips, wrists, ankles, and knees

Montoye, 2019- six machine learning models using either count or raw data from ActiGraphs on right hip or left wrist to predict energy expenditure of children

Phillips, 2013- cut-points for signal magnitude vector from GENEA worn on right hip and each wrist in children

Schaefer, 2014- cut-points for signal magnitude vector divided by sampling frequency from GENEActiv worn on non-dominant wrist in children

Tanaka, 2019- the ratio of unfiltered to filtered acceleration is used to determine non-locomotive vs. locomotive activities, then activity-specific equations are used to predict energy expenditure in young children wearing a waist-worn Omron accelerometer

Tanaka, 2007- linear and non-linear equations were developed to predict energy expenditure in young children wearing an ActivTracer on the left hip

Trost, 2016- two decision tree models for classifying activity intensity from ActiGraph counts in children with cerebral palsy wearing an ActiGraph at the hip

Zakeri, 2010- a multivariate adaptive regression splines (MARS) model to predict 24-hour total energy expenditure overall and awake, sleep, and activity energy expenditure separately in children and adolescents wearing an Actiheart