Estimation of Energy Expenditure during Treadmill Exercise via Thermal Imaging. Issue 12 (December 2016)

• Record Type: Journal Article
• Authors: JENSEN, MARTIN MØLLER; POULSEN, MATHIAS KROGH; ALLDIECK, THIEMO; LARSEN, RYAN GODSK; GADE, RIKKE; MOESLUND, THOMAS BALTZER; FRANCH, JESPER
• Is Part Of: Medicine and science in sports and exercise. Volume 48:Issue 12(2016)
• Publication Date: 2016-12
• Subjects: OXYGEN UPTAKE -- WALKING -- RUNNING -- ACCELEROMETRY -- THERMAL OPTICAL FLOW; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Exercise -- Health aspects -- Periodicals; 612.044
• DOI: 10.1249/MSS.0000000000001013
• Languages: English
• ISSNs: 0195-9131

Abstract

ABSTRACT: Purpose: Noninvasive imaging of oxygen uptake may provide a useful tool for the quantification of energy expenditure during human locomotion. A novel thermal imaging method (optical flow) was validated against indirect calorimetry for the estimation of energy expenditure during human walking and running. Methods: Fourteen endurance-trained subjects completed a discontinuous incremental exercise test on a treadmill. Subjects performed 4-min intervals at 3, 5, and 7 km·h −1 (walking) and at 8, 10, 12, 14, 16, and 18 km·h −1 (running) with 30 s of rest between intervals. Heart rate, gas exchange, and mean accelerations of ankle, thigh, wrist, and hip were measured throughout the exercise test. A thermal camera (30 frames per second) was used to quantify optical flow, calculated as the movements of the limbs relative to the trunk (internal mechanical work) and vertical movement of the trunk (external vertical mechanical work). Results: Heart rate, gross oxygen uptake (mL·kg −1 ·min −1 ) together with gross and net energy expenditure (J·kg -1 ·min −1 ) rose with increasing treadmill velocities, as did optical flow measurements and mean accelerations ( g ) of ankle, thigh, wrist, and hip. Oxygen uptake was linearly correlated with optical flow across all exercise intensities ( R 2 = 0.96, P < 0.0001; V˙O2 [mL·kg −1 ·min −1 ] = 7.35 + 9.85 × optical flow [arbitrary units]). Only 3–4 s of camera recording was required to estimate an optical flow value at each velocity. Conclusions: Optical flow measurements provide an accurate estimation of energy expenditure during horizontal walking and running. The technique offers a novel experimental method of estimating energy expenditure during human locomotion, without use of interfering equipment attached to the subject.