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Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data.

Louis FaustCheng WangDavid S HachenOmar LizardoNitesh V Chawla
Published in: JMIR mHealth and uHealth (2019)
By providing meaningful and flexible outputs, PATX alleviates data concerns common with fitness trackers to support MVPA behavior change studies as they shift to more objective assessments of MVPA.
Keyphrases
  • physical activity
  • electronic health record
  • body mass index
  • big data
  • body composition
  • sleep quality
  • mouse model
  • machine learning
  • blood pressure
  • depressive symptoms