Accuracy of the SenseWear Armband during Short Bouts of Exercise
Ryan D. Wedge, Mike McCammon, Stacey A. Meardon

TL;DR
This study evaluates how well the SenseWear Armband estimates energy expenditure during short exercise sessions compared to a gold standard method.
Contribution
The study provides new insights into the accuracy of the SenseWear Armband during short intervals of walking and running.
Findings
The SenseWear Armband overestimated energy expenditure during walking and running at 75% speed.
It underestimated energy expenditure at higher running intensities but not significantly.
Activity-specific algorithms improved estimates but did not justify adding extra sensors.
Abstract
A goal of mobile monitoring is to approximate metabolic energy expenditure (EE) during activities of daily living and exercise. Many physical activity monitors are inaccurate with respect to estimated EE and differentiating between activities that occur over short intervals. The objective of our study was to assess the validity of the SenseWear Armband (SWA) compared to indirect calorimetry (IC) during short intervals of walking and running. Twenty young, fit participants walked (preferred speed) and ran (75%, 85%, and 95% of predicted VO2max run speeds) on a treadmill. EE estimates from IC, SWA, and prediction equations that used the SWA, speed, and heart rate were examined during each 4 min interval and across the whole protocol (Total). The level of significance was p < 0.05. The SWA overestimated EE relative to IC by 1.62 kcal·min−1 while walking and 1.05 kcal·min−1 while running at…
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Taxonomy
TopicsTransportation Planning and Optimization · Vehicle emissions and performance · Urban Transport and Accessibility
