This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (418) Wearable Devices and Sensors (1133) mHealth for Data Collection and Research (1196) Novel Sensors and Data Acquisition Methods in Cardiology (225) Cardiac Arrhythmia, Atrial Fibrillation (115) Fitness Trackers and Smart Pedometers/Accelerometers (665)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65139, first published .
Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study

Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study

Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study

Authors of this article:

Femke Wouters1, 2 Author Orcid Image ;   Henri Gruwez1, 2, 3, 4 Author Orcid Image ;   Christophe Smeets1, 2 Author Orcid Image ;   Anessa Pijalovic2 Author Orcid Image ;   Wouter Wilms2 Author Orcid Image ;   Julie Vranken1, 2 Author Orcid Image ;   Zoë Pieters5 Author Orcid Image ;   Hugo Van Herendael3 Author Orcid Image ;   Dieter Nuyens3 Author Orcid Image ;   Maximo Rivero-Ayerza3 Author Orcid Image ;   Pieter Vandervoort1, 2, 3 Author Orcid Image ;   Peter Haemers4 Author Orcid Image ;   Laurent Pison1, 3 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Dial M, Hollander M, Vatne E, Emerson A, Edwards N, Hagen J. Validation of nocturnal resting heart rate and heart rate variability in consumer wearables. Physiological Reports 2025;13(16) View
  2. Joshi B, Chun Y, Chakraborty J, Thomas G, Bolaji P, Khan Tharin M, Adeyeye R, Adeyeye E, Azeta S. TIAS (Timing, Individualised, Amalgamated, Stepwise) Algorithm for Efficacious and Cost-Effective Cardiac Monitoring to Detect Atrial Fibrillation After Stroke. Cureus 2025 View
  3. Barrera N, Solorzano M, Jimenez Y, Kushnir Y, Gallegos-Koyner F, Dagostin de Carvalho G. Accuracy of Smartwatches in the Detection of Atrial Fibrillation. JACC: Advances 2025;4(11):102133 View
  4. Sollee J, Cheema B, Slotwiner D, Volodarskiy A, Desteghe L, Buyck C, Heidbuchel H, Stavrakis S, Pison L, Nuyens D, Rivero-Ayerza M, Van Herendael H, Thomas J. Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study. npj Digital Medicine 2025;8(1) View
  5. Cinotti E, Gragnaniello M, Parlato S, Centracchio J, Andreozzi E, Bifulco P, Riccio M, Esposito D. An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals. Sensors 2025;25(23):7244 View
  6. Bilson S, Cox M, Pustogvar A, Thompson A. A metrological framework for uncertainty evaluation in machine learning classification models. Metrologia 2025;62(6):064001 View