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Identifying bedrest using waist-worn triaxial accelerometers in preschool children.

J Dustin TracyThomas DonnellyEvan C SommerWilliam J HeermanShari L BarkinMaciej S Buchowski
Published in: PloS one (2021)
The DT-based algorithm initially developed for youth was adapted for preschool children to identify time spent in bedrest with high accuracy. The DT is available as a package for the R open-source software environment ("PhysActBedRest").
Keyphrases
  • body mass index
  • machine learning
  • mental health
  • physical activity
  • deep learning
  • young adults
  • body weight
  • data analysis
  • neural network