Description

An artificial neural network with a Root Mean Square Error (RMSE) of 1.07 METs was developed for estimating energy expenditure in adults using an ActivPal accelerometer worn on the right thigh. Adults performed simulated activities of daily living, locomotion, and other exercises and the model was cross-validated using leave-one-out cross validation.

Development/Validation

Sample: 41 (20 males) healthy adults, 18-35 years of age

Setting: Laboratory

Activities: Activities of daily living, cycling, walking and running, resistance exercise, stairs, stationary behaviors

Criterion: Oxycon Mobile (VO₂)

Accelerometer(s): ActivPal on the right thigh

Validation approach: Leave-one-out cross-validation

Phase Designation

(What's this?)

This model is in Phase 2.

Instructions

The R code can be used to read in a csv file with the necessary features and then use the artificial neural network to predict energy expenditure in METs for 30-sec windows. There is an example data sheet with the variables described in the data dictionary that need to be present in the csv file. Further instructions are in the R code. More information about R is found here.

This code relies on R software which can be downloaded for free at https://www.r-project.org/

Attached Files

Download all files as a .zip or download individual files below.

Code

Example data

Data dictionary

Artificial neural network model

Note: Compared to the original source, code was edited for consistency, data dictionary was added, models and example data were unchanged

Source Information

Montoye, A. H., Pivarnik, J. M., Mudd, L. M., Biswas, S., & Pfeiffer, K. A. (2017). Evaluation of the activPAL accelerometer for physical activity and energy expenditure estimation in a semi-structured setting. Journal of Science and Medicine in Sport, 20(11), 1003-1007. http://dx.doi.org/10.1016/j.jsams.2017.04.011 Link to paper

Original source for code:

https://drive.google.com/open?id=0B-BgdTzyd2OxQllsS19wLXBNVjQ

Corresponding author: Alexander H.K. Montoye, montoyeah@alma.edu

Contact

Kimberly Clevenger at accelerometerrepository@gmail.com