Open AccessAccelerometer Data Reduction: A Comparison of Four Reduction Algorithms on Select Outcome Variables
Author(s) -
Louise C. Mâsse,
Bernard F. Fuemmeler,
Cheryl Anderson,
Charles E. Matthews,
Stewart G. Trost,
Diane J. Catellier,
Margarita S. Treuth
Publication year - 2005
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/01.mss.0000185674.09066.8a
Subject(s) - spurious relationship , accelerometer , reduction (mathematics) , outcome (game theory) , set (abstract data type) , data set , data reduction , sample (material) , computer science , sample size determination , statistics , algorithm , data mining , mathematics , chemistry , geometry , mathematical economics , chromatography , programming language , operating system
Accelerometers are recognized as a valid and objective tool to assess free-living physical activity. Despite the widespread use of accelerometers, there is no standardized way to process and summarize data from them, which limits our ability to compare results across studies. This paper a) reviews decision rules researchers have used in the past, b) compares the impact of using different decision rules on a common data set, and c) identifies issues to consider for accelerometer data reduction.