Calibration of the Computer Science and Applications, Inc. accelerometer

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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·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 ≤ 1951, 1952-5724, 5725-9498, ≥ 9499 cnts·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·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·min-1).

Conclusions:

These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.

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