Published on in Vol 7 , No 5 (2019) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13547, first published .
Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Journals

  1. Kooman J, Wieringa F, Han M, Chaudhuri S, van der Sande F, Usvyat L, Kotanko P. Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?. Nephrology Dialysis Transplantation 2020;35(Supplement_2):ii43 View
  2. Feng S, Yi J, Deitz G, Ding L, Van Gelder R, Menda S. Relationships Between Sleep, Activity, and Burnout in Ophthalmology Residents. Journal of Surgical Education 2021;78(3):1035 View
  3. Dimitratos S, German J, Schaefer S. Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study. JMIR mHealth and uHealth 2020;8(7):e16405 View
  4. Al-Bouwarthan M, Quinn M, Kriebel D, Wegman D. A Field Evaluation of Construction Workers’ Activity, Hydration Status, and Heat Strain in the Extreme Summer Heat of Saudi Arabia. Annals of Work Exposures and Health 2020;64(5):522 View
  5. Vanhelst J, Béghin L, Turck D, Labreuche J, Coopman S, Gottrand F, Ley D. Daily physical activity patterns in children and adolescents with inflammatory bowel disease. Pediatric Research 2021 View
  6. Leopold J, Davis R, Antman E. Data from Digital Health Devices Informs Ideal Cardiovascular Health. Journal of Personalized Medicine 2021;11(3):189 View