Tri-axial high-resolution acceleration for oxygen uptake estimation: Validation of a multi-sensor device and a novel analysis method

Weippert, Matthias; Stielow, Jan; Kumar, Mohit; Kreuzfeld, Steffi; Rieger, Annika; Stoll, Regina
March 2013
Applied Physiology, Nutrition & Metabolism;Mar2013, Vol. 38 Issue 3, p345
Academic Journal
We validated a multi-sensor chest-strap against indirect calorimetry and further introduced the total-acceleration-variability (TAV) method for analyzing high-resolution accelerometer data. Linear regression models were developed to predict oxygen uptake from the TAV-processed multi-sensor data. Individual correlations between observed and TAV-predicted oxygen uptake ( V̇O2) were strong (mean r = 0.94) and bias low (1.5 mL·min-1·kg-1, p < 0.01; 95% confidence interval: 8.7 mL·min-1·kg-1; -5.8 mL·min-1·kg-1); however, caution should be taken when a single-model value is used as a surrogate for V̇O2.


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