Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56972, first published .
Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Journals

  1. Yang R, Yang L, Zhang Q, Wang S, Xu J. Wearable Patch ECG monitors and transesophageal electrophysiological study for diagnosing palpitations of unknown origin. Frontiers in Cardiovascular Medicine 2024;11 View
  2. Castillo-Navarrete J, Guzmán-Castillo A, Bustos C, Carels V. Longitudinal analysis of academic stress and its effects on salivary cortisol, alpha-amylase, and academic outcomes: Study protocol. PLOS ONE 2024;19(12):e0315650 View
  3. Schweizer T, Gilgen-Ammann R. Wrist-Worn and Arm-Worn Wearables for Monitoring Heart Rate During Sedentary and Light-to-Vigorous Physical Activities: Device Validation Study. JMIR Cardio 2025;9:e67110 View
  4. Um J, Park J, Lee D, Ahn J, Baek J. Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study. Psychiatry Investigation 2025;22(2):156 View
  5. Kim Y, Kim S, Nam H. Application of Smart Watch-Based Functional Evaluation for Upper Extremity Impairment: A Preliminary Study on Older Emirati Stroke Population. Sensors 2025;25(5):1554 View
  6. Lee W, Chu M. The Current Role of Artificial Intelligence in the Field of Headache Disorders, with a Focus on Migraine: A Systemic Review. Headache and Pain Research 2025;26(1):48 View

Books/Policy Documents

  1. Jungreitmayr S. Digitalisierung und Innovation im Sport und in der Sportwissenschaft. View