Lab-based validation of different data processing methods for wrist-worn ActiGraph accelerometers in young adults
Ellingson, 2017

Description

This article compares four methods, three of which were previously published. The newly developed model is a modification of the Hildebrand et al. (2014) model and predicts oxygen consumption (VO2) using Euclidean Norm Minus One (ENMO) from an ActiGraph worn on the right wrist. Mean absolute percent error was 24.59 (overall), 23.39 (sedentary), 19.34 (light), 50.91 (moderate), and 3.45% (vigorous). Percent accuracy was 54.0% and sensitivity and specificity ranged from 37 to 98% and 60 to 99%, respectively.

Development/Validation

Sample: 51 (29 males) healthy adults, 18-40 years of age

Setting: Laboratory

Activities: Cycling, sports, stairs, stationary, treadmill walking and running

Criterion: Oxycon Mobile (VO2), activity type

Accelerometer(s): ActiGraph GT3X+ on right wrist

Validation approach: Comparison to criterion

Phase Designation

(What's this?)

This model is in Phase 1.

Instructions

Euclidean Norm Minus One (mg) is calculated as vector magnitude (square root of the sum of the squared acceleration in each axis) minus one (to account for gravity) and used in the below equation to predict VO2.

Source Information

Ellingson, L. D., Hibbing, P. R., Kim, Y., Frey-Law, L. A., Saint-Maurice, P. F., & Welk, G. J. (2017). Lab-based validation of different data processing methods for wrist-worn ActiGraph accelerometers in young adults. Physiological Measurement, 38(6), 1045. https://doi.org/10.1088/1361-6579/aa6d00 Link to Paper

Corresponding author: Laura Ellingson, ellingl@iastate.edu

Contact

Kimberly Clevenger at accelerometerrepository@gmail.com