Journal of Rehabilitation Research & Development (JRRD)

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Volume 52 Number 7, 2015
   Pages 793 — 804

Abstract — Evaluation of custom energy expenditure models for SenseWear armband in manual wheelchair users

KaLai Tsang;1–2 Shivayogi V. Hiremath, PhD;1–3 Rory A. Cooper, PhD;1–4 Dan Ding, PhD1–2,4*

1Human Engineering Research Laboratories, Department of Veterans Affairs Pittsburgh Healthcare System,
Pittsburgh, PA; Departments of 2Rehabilitation Science and Technology, 3Physical Medicine and Rehabilitation,
and 4Bioengineering, University of Pittsburgh, Pittsburgh, PA

Abstract — Physical activity monitors are increasingly used to help the general population lead a healthy lifestyle by keeping track of their daily physical activity (PA) and energy expenditure (EE). However, none of the commercially available activity monitors can accurately estimate PA and EE in people who use wheelchairs as their primary means of mobility. Researchers have recently developed custom EE prediction models for manual wheelchair users (MWUs) with spinal cord injuries (SCIs) based on a commercial activity monitor—the SenseWear armband. This study evaluated the performance of two custom EE prediction models, including a general model and a set of activity-specific models among 45 MWUs with SCI. The estimated EE was obtained by using the two custom models and the default manufacturer's model, and it was compared with the gold standard measured by the K4b2 portable metabolic cart. The general, activity-specific, and default models had a mean signed percent error (mean +/– standard deviation) of –2.8 +/– 26.1%, –4.8 +/– 25.4%, and –39.6 +/– 37.8%, respectively. The intraclass correlation coefficient was 0.86 (95% confidence interval [CI] = 0.82 to 0.89) for the general model, 0.83 (95% CI = 0.79 to 0.87) for the activity-specific model, and 0.62 (95% CI = 0.16 to 0.81) for the default model. The custom models for the SenseWear armband significantly improved the EE estimation accuracy for MWUs with SCI.

Key words: activities of daily living, activity monitors, energy expenditure, evaluation, exercise, manual wheelchair users, mobility, physical activity, prediction models, spinal cord injury.

View HTML ¦ View PDF ¦ Contents Vol. 52, No.7

This article and any supplementary material should be cited as follows:
Tsang K, Hiremath SV, Cooper RA, Ding D. Evaluation of custom energy expenditure models for SenseWear armband in manual wheelchair users. J Rehabil Res Dev. 2015;52(7):793–804.

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