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Published on 19.07.16 in Vol 3, No 2 (2016): Jul-Dec

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.4340):

(note that this is only a small subset of citations)

  1. Catal C, Akbulut A. Automatic energy expenditure measurement for health science. Computer Methods and Programs in Biomedicine 2018;157:31
  2. Pires IM, Felizardo V, Pombo N, Drobics M, Garcia NM, Flórez-Revuelta F. Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer. Journal of Ambient Intelligence and Smart Environments 2018;10(4):315
  3. Fergus P, Hussain AJ, Hearty J, Fairclough S, Boddy L, Mackintosh K, Stratton G, Ridgers N, Al-Jumeily D, Aljaaf AJ, Lunn J. A machine learning approach to measure and monitor physical activity in children. Neurocomputing 2017;228:220