Published on in Vol 8, No 1 (2020): January

Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health in Working Adults: Cross-Sectional Study

Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health in Working Adults: Cross-Sectional Study

Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health in Working Adults: Cross-Sectional Study

Journals

  1. Mohammadi R, Atif M, Centi A, Agboola S, Jethwani K, Kvedar J, Kamarthi S. Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study. JMIR mHealth and uHealth 2020;8(9):e18142 View
  2. Hoopes E, Witman M, D’Agata M, Berube F, Brewer B, Malone S, Grandner M, Patterson F. Rest-activity rhythms in emerging adults: implications for cardiometabolic health. Chronobiology International 2021;38(4):543 View
  3. Lee K, Gan W, Christopoulos G. Biomarker-Informed Machine Learning Model of Cognitive Fatigue from a Heart Rate Response Perspective. Sensors 2021;21(11):3843 View