Open AccessValidation of the ActiGraph Two-Regression Model for Predicting Energy Expenditure
Author(s) -
Megan P. Rothney,
Robert J. Brychta,
Natalie N. Meade,
Kong Y. Chen,
Maciej S. Buchowski
Publication year - 2010
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/mss.0b013e3181d5a984
Subject(s) - doubly labeled water , energy expenditure , zoology , physical activity , linear regression , calorimeter (particle physics) , regression analysis , mathematics , medicine , statistics , physical therapy , endocrinology , biology , physics , detector , optics
The purpose of this study was to validate a two-regression model for predicting energy expenditure (EE) from ActiGraph GT1M accelerometer-generated activity counts using a whole-room indirect calorimeter and the doubly labeled water (DLW) technique. We also investigated if a low-pass filter (LPF) approach would improve the model's accuracy in the minute-to-minute EE prediction.