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
  7. Anagnostopoulos I, Vrachatis D, Kousta M, Giotaki S, Katsoulotou D, Karavasilis C, Deftereos G, Schizas N, Avramides D, Giannopoulos G, Papaioannou T, Deftereos S. Wearable Devices for Quantifying Atrial Fibrillation Burden: A Systematic Review and Bayesian Meta-Analysis. Journal of Cardiovascular Development and Disease 2025;12(4):122 View
  8. Polo-Rodríguez A, López I, Diaz R, Rivadeneyra A, Gil D, Medina-Quero J. Modelling Key Health Indicators from Sensor Data Using Knowledge Graphs and Fuzzy Logic. Electronics 2025;14(12):2459 View
  9. Stavarache I, Cernomaz A, Țarcă V. Testing the reliability of commercially available smart devices to    remotely assess the intensity of physical exertion during respiratory rehabilitation. Balneo and PRM Research Journal 2025;16(Vol 16 No. 3):832 View
  10. Hardon H, Van Kerkhof Y, Bartelds B, Kammeraad J, Van Deutekom A. The Validation and Accuracy of Wearable Heart Rate Trackers in Children With Heart Disease: Prospective Cohort Study. JMIR Formative Research 2025;9:e70835 View
  11. Ciofani G, Bandiera T, Corsini A, Crescenzi M, De Vittorio M, Mari S, Martinelli E, Monici M, Piccirillo S, Narici M, Ferranti F. Pharmaceutical and biomedical challenges for crew autonomy in health preservation during future exploration missions. Communications Medicine 2025;5(1) View
  12. Bousquet J, Blain H, Berrut G. Outils numériques pour la prédiction, prévention et détection des chutes : état des lieux et perspectives cliniques. La Presse Médicale Formation 2025;6(6):100736 View
  13. Li J, Tseng Y, Chen S, Chen K. Artificial Intelligence in Infection Surveillance: Data Integration, Applications and Future Directions. Biomedical Journal 2025:100929 View

Books/Policy Documents

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

Conference Proceedings

  1. Fehér B, Gulácsi L, Péntek M. 2025 IEEE 12th International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC). Wearables and Activity Trackers Market Among University Students: A Narrative Review View
  2. Salvi D, Caramaschi S, Sarmiento C, Sekules V, Olsson C, Angelucci A, Aliverti A. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Benchmarking open-source step counting algorithms for wrist-worn devices View