Description

A 2-regression model was developed in children wearing a waist-worn Omron accelerometer. The threshold of unfiltered to filtered synthetic acceleration is used to determine whether a ‘locomotive’ or ‘non-locomotive’ equation is used to predict METs. Root Mean Square Error (RMSE) was 0.508 to 0.694 METs.

Development/Validation

Sample: 68 (42 males) healthy children, 6-12 years of age

Setting: Laboratory

Activities: Activities of daily living, video games, overground walking and running, stairs, stationary

Criterion: Douglas bag (VO₂)

Accelerometer(s): Omron worn on the waist

Validation approach: Holdout of 20 participants

Phase Designation

(What's this?)

This model is in Phase 1.

Instructions

Synthetic acceleration was calculated (i.e., vector magnitude, square root of the sum of the squared acceleration values in each axis) before and after passing the acceleration data through a high-pass filter with a cut-off frequency of 0.7 Hz (second-order Butterworth). A threshold for the ratio of unfiltered synthetic acceleration to filtered synthetic acceleration is used to determine which regression equation to use to predict METs. If this ratio is less than 1.12, then the locomotive equation is used. Acceleration data were analyzed using a 10-s epoch. Equations are available with and without the inclusion of weight, age, and sex.

Source Information

Hikihara, Y., Tanaka, C., Oshima, Y., Ohkawara, K., Ishikawa-Takata, K., & Tanaka, S. (2014). Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm. PloS One, 9(4), e94940. https://doi.org/10.1371/journal.pone.0094940 Link to Paper

Corresponding author: Yuki Hikihara, hikihara.yuki@it-chiba.ac.jp

Contact

Kimberly Clevenger at accelerometerrepository@gmail.com