Estimating energy expenditure from raw accelerometry in three types of locomotion
Brandes, 2012
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Last update: January 15, 2022. Updates will occur every 3 months.
Description
Description
Activity-specific linear regression equations were developed for walking, cycling, and stair walking using acceleration measured by a Dynaport worn on the lower back. Root Mean Square Error (RMSE) was 2.39 (walk), 6.90 (cycle), and 5.80 (stairs) kJ/min for the equation including weight and acceleration, 2.16, 6.67, and 5.57 kJ/min for the equation including weight, acceleration, and their interaction, and 34.00, 97.22, and 84.36 J/min/kg for the equation with only acceleration as the input.
Development/Validation
Development/Validation
Sample: 185 (91 males) healthy participants, 8-81 years of age
Setting: Outside on campus
Activities: Bicycling, overground/self-paced walking, stairs, stationary
Criterion: MetaMax 3b (VO2)
Accelerometer(s): Dynaport on lower back
Validation approach: Leave-one-out cross-validation
Instructions
Instructions
Acceleration (g) was summarized by applying a fourth-order band-pass frequency filter to each acceleration axis (0.1–15 Hz), following which the vector magnitude was calculated (square root of the sum of the squared acceleration in each axis). Then, the following activity-specific regression equations are used to calculate activity energy expenditure. Weight is the participant's body weight (kg).
Source Information
Source Information
Reference:
Brandes, M., VT, V. H., HannöVer, V., & Brage, S. (2012). Estimating energy expenditure from raw accelerometry in three types of locomotion. Medicine and Science in Sports and Exercise, 44(11), 2235-2242. https://doi.org/10.1249/MSS.0b013e318260402b
Corresponding author: Mirko Brandes, mirko.brandes@uni-oldenburg.de
Contact
Contact
Kimberly Clevenger at accelerometerrepository@gmail.com
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