Calibration of the Computer Science and Applications, Inc. accelerometer
Patty S. Freedsona b c d, Edward L. Melansonb c d, John R. Sirardb c d
- aUniversity of Massachusetts, Department of Exercise Science, Amherst 01003, USA. psf@excsci.umass.edu
- bPatty S. Freedson, University of Massachusetts, Department of Exercise Science, Totman Building, Amherst, MA 01003. E-mail:[email protected]
- cSubmitted for publication March 1997
- dUniversity of Massachusetts, Department of Exercise Science, Totman Building, Amherst, MA 01003
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Abstract
PURPOSE: We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. METHODS: Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). RESULTS: Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were < or = 1951, 1952-5724, 5725-9498, > or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). CONCLUSIONS: These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.
TL;DRThese data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer, and help to predict energy expenditure at any treadmill speed. (Semantic Scholar)