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Original research| Volume 97, ISSUE 7, P1146-1153.e1, July 2016

Estimation of Energy Expenditure for Wheelchair Users Using a Physical Activity Monitoring System

  • Shivayogi V. Hiremath
    Correspondence
    Corresponding author Shivayogi V. Hiremath, PhD, Department of Physical Therapy, College of Public Health, Temple University, 3307 N Broad St, Jones Hall, Ste 623, Philadelphia, PA 19140.
    Affiliations
    Department of Veterans Affairs, Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA

    Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA

    Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA

    Department of Physical Therapy, Temple University, Philadelphia, PA
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  • Stephen S. Intille
    Affiliations
    College of Computer and Information Science, Northeastern University, Boston, MA

    Department of Health Sciences, Northeastern University, Boston, MA
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  • Annmarie Kelleher
    Affiliations
    Department of Veterans Affairs, Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA

    Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA
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  • Rory A. Cooper
    Affiliations
    Department of Veterans Affairs, Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA

    Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA

    Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
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  • Dan Ding
    Affiliations
    Department of Veterans Affairs, Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA

    Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA

    Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
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Published:March 11, 2016DOI:https://doi.org/10.1016/j.apmr.2016.02.016

      Abstract

      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.

      Keywords

      List of abbreviations:

      EE (energy expenditure), G-WRM (gyroscope-based wheel rotation monitor), ICC (intraclass correlation coefficient), MSE (mean signed error), PA (physical activity), PAMS (physical activity monitoring system), SCI (spinal cord injury)
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