This paper is in the following e-collection/theme issue:

Emerging Technologies for Rehabilitation (261) Portable and Mobile Technologies for Rehabilitation (151) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 3, No 2 (2016): Jul-Dec

This is a member publication of UC Davis - Shields Library, Davis, CA, USA

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

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

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

Authors of this article:

Amit Pande1 Author Orcid Image ;   Prasant Mohapatra1 Author Orcid Image ;   Alina Nicorici2 Author Orcid Image ;   Jay J Han2 Author Orcid Image
Article Authors Cited by (7) Tweetations (26) Metrics

Amit Pande   1 , PhD ;   Prasant Mohapatra   1 , PhD ;   Alina Nicorici   2 , BS ;   Jay J Han   2 , MD

1 University of California Davis, Department of Computer Science, Davis, CA, United States

2 University of California Davis Health System, Department of Physical Medicine and Rehabilitation, Sacramento, CA, United States

Corresponding Author:

  • Amit Pande, PhD
  • University of California Davis
  • Department of Computer Science
  • One Shields Ave
  • Davis, CA
  • United States
  • Phone: 1 530 554 1554
  • Fax: 1 530 752 4767
  • Email: pande@ucdavis.edu