Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy.

Journal: JMIR rehabilitation and assistive technologies
Published Date: Jul 19, 2016

Abstract

BACKGROUND: Children with physical impairments are at a greater risk for obesity and decreased physical activity. A better understanding of physical activity pattern and energy expenditure (EE) would lead to a more targeted approach to intervention.

Authors

  • Amit Pande
    University of California Davis, Department of Computer Science, Davis, CA, United States.
  • Prasant Mohapatra
    University of California Davis, Department of Computer Science, Davis, CA, United States.
  • Alina Nicorici
    University of California Davis Health System, Department of Physical Medicine and Rehabilitation, Sacramento, CA, United States.
  • Jay J Han
    University of California Davis Health System, Department of Physical Medicine and Rehabilitation, Sacramento, CA, United States.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals