Published on in Vol 7 , No 3 (2019) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11075, first published .
Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data

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

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

Journals

  1. Turicchi J, O'Driscoll R, Finlayson G, Duarte C, Palmeira A, Larsen S, Heitmann B, Stubbs R. Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study. JMIR mHealth and uHealth 2020;8(9):e17977 View
  2. Rykov Y, Thach T, Dunleavy G, Roberts A, Christopoulos G, Soh C, Car J. Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e16409 View

Books/Policy Documents

  1. Wons O, Lampe E, Boyajian L, Patarinski A, Juarascio A. Eating Disorders. View
  2. Wons O, Lampe E, Boyajian L, Patarinski A, Juarascio A. Eating Disorders. View