title: Tri-axial high-resolution acceleration for oxygen uptake estimation: Validation of a multi-sensor device and a novel analysis method.
abstract: 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.
authors.affiliation: a University of Rostock, Institute of Preventive Medicine, St.-Georg-Str. 108, 18055 Rostock, Germany; University of Rostock, Center for Life Science Automation, F.-Barnewitz-Str. 8, 18119 Rostock, Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: Weippert
authors.forename: Jan
authors.initials: J
authors.lastname: Stielow
authors.forename: Mohit
authors.initials: M
authors.lastname: Kumar
authors.forename: Steffi
authors.initials: S
authors.lastname: Kreuzfeld
authors.forename: Annika
authors.initials: A
authors.lastname: Rieger
authors.forename: Regina
authors.initials: R
authors.lastname: Stoll
mesh_terms: D000054:Acceleration; D002153:Calorimetry, Indirect; D016014:Linear Models; D010100:Oxygen; D010101:Oxygen Consumption
chemical_list: D010100:Oxygen