GENEActiv

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

Dibben, 2020- cut-points for two acceleration-based metrics (sum of vector magnitudes and mean amplitude deviation) for GENEActiv monitors worn at the hip and each wrist in patients with heart failure

Dillon, 2016- cut-points for signal vector magnitude from GENEActiv worn on each wrist in adults

Esliger, 2011- cut-points for signal magnitude vector from GENEA worn on right hip and each wrist in adults

Fraysse, 2021- cut-points for signal vector magnitude from GENEActiv worn on each wrist in older adults

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

Montoye, 2015- sixteen acceleration-based machine learning models to predict energy expenditure of adults wearing ActiGraph on thigh or hip or a GENEActiv on either wrist

Montoye, 2016 (2)- four acceleration-based machine learning models to predict energy expenditure of adults wearing ActiGraph on thigh or hip or GENEActiv on either wrist

Montoye, 2016 (3)- six acceleration-based machine learning models to predict energy expenditure of adults wearing GENEActiv on either wrist

Montoye, 2018- four machine learning models to predict energy expenditure of adults wearing GENEActiv on left wrist

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

Roscoe, 2017- cut-points for signal magnitude vector from GENEActiv worn on non-dominant wrist in preschool-aged children

Sanders, 2019- cut-points for Euclidean norm minus one from ActiGraph worn on right hip and GENEActiv worn on non-dominant wrist in older adults

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

Steenbock, 2019- twenty-four machine learning models to predict energy expenditure of preschoolers using acceleration metrics from an ActiGraph on either hip, GENEActiv right hip, GENEActiv on either wrist, and/or ActivPal right thigh

van Hees, 2011- prediction equations for energy expenditure for pregnant women and non-pregnant women wearing a GENEA on the wrist or non-dominant hip

van Hees, 2013- prediction equations for energy expenditure of women wearing a wrist-worn GENEA