Article

OBJECTIVE: To develop and evaluate energy expenditure (EE) estimation models for
a physical activity monitoring system (PAMS) in manual wheelchair users with
spinal cord injury (SCI). DESIGN: Cross-sectional study. SETTING:
University-based laboratory environment, a semistructured environment at the
National Veterans Wheelchair Games, and the participants' home environments.
PARTICIPANTS: Volunteer sample of manual wheelchair users with SCI (N=45).
INTERVENTION: Participants were asked to perform 10 physical activities (PAs) of
various intensities from a list. The PAMS consists of a gyroscope-based wheel
rotation monitor (G-WRM) and an accelerometer device worn on the upper arm or on
the wrist. Criterion EE using a portable metabolic cart and raw sensor data from
PAMS were collected during each of these activities. MAIN OUTCOME MEASURES:
Estimated EE using custom models for manual wheelchair users based on either the
G-WRM and arm accelerometer (PAMS-Arm) or the G-WRM and wrist accelerometer
(PAMS-Wrist). RESULTS: EE estimation performance for the PAMS-Arm (average error
+/- SD: -9.82%+/-37.03%) and PAMS-Wrist (-5.65%+/-32.61%) on the validation
dataset indicated that both PAMS-Arm and PAMS-Wrist were able to estimate EE for
a range of PAs with <10% error. Moderate to high intraclass correlation
coefficients (ICCs) indicated that the EE estimated by PAMS-Arm (ICC3,1=.82,
P<.05) and PAMS-Wrist (ICC3,1=.89, P<.05) are consistent with the criterion EE.
CONCLUSIONS: Availability of PA monitors can assist wheelchair users to track PA
levels, leading toward a healthier lifestyle. The new models we developed can
estimate PA levels in manual wheelchair users with SCI in laboratory and
community settings.
CI - Copyright (c) 2016 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS