Article

OBJECTIVE: To develop and evaluate new energy expenditure (EE) prediction models
for manual wheelchair users (MWUs) with spinal cord injury (SCI) based on a
commercially available multisensor-based activity monitor. DESIGN:
Cross-sectional. SETTING: Laboratory. PARTICIPANTS: Volunteer sample of MWUs with
SCI (N=45). INTERVENTION: Subjects were asked to perform 4 activities including
resting, wheelchair propulsion, arm-ergometer exercise, and deskwork. Criterion
EE using a metabolic cart and raw sensor data from a multisensor activity monitor
was collected during each of these activities. MAIN OUTCOME MEASURES: Two new EE
prediction models including a general model and an activity-specific model were
developed using enhanced all-possible regressions on 36 MWUs and tested on the
remaining 9 MWUs. RESULTS: The activity-specific and general EE prediction models
estimated the EE significantly better than the manufacturer's model. The average
EE estimation error using the manufacturer's model and the new general and
activity-specific models for all activities combined was -55.31%
(overestimation), 2.30% (underestimation), and 4.85%, respectively. The average
EE estimation error using the manufacturer's model, the new general model, and
activity-specific models for various activities varied from -19.10% to -89.85%,
-18.13% to 25.13%, and -4.31% to 9.93%, respectively. CONCLUSIONS: The predictors
for the new models were based on accelerometer and demographic variables,
indicating that movement and subject parameters were necessary in estimating the
EE. The results indicate that the multisensor activity monitor with new
prediction models can be used to estimate EE in MWUs with SCI during
wheelchair-related activities mentioned in this study.
CI - Copyright (c) 2012 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS