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

Mobile Health (mhealth) (2777) Computer-Aided Diagnosis (102) Wearable Devices and Sensors (825) Cardiac Arrhythmia, Atrial Fibrillation (81) Decision Support for Health Professionals (1147) Novel Sensors and Data Acquisition Methods in Cardiology (191) New Methods (911)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44642, first published .
Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Authors of this article:

Jasper L Selder1 Author Orcid Image ;   Henryk Jan Te Kolste1 Author Orcid Image ;   Jos Twisk2 Author Orcid Image ;   Marlies Schijven3 Author Orcid Image ;   Willem Gielen4 Author Orcid Image ;   Cornelis P Allaart1 Author Orcid Image
Article Authors Cited by (3) Tweetations (16) Metrics

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  2. Guo R, Tian X, Bazoukis G, Tse G, Hong S, Chen K, Liu T. Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia. Pacing and Clinical Electrophysiology 2024;47(6):789 View
  3. Josemans S, Lindeboom L, Gerritsen K, Wieringa F, Kooman J, Rotmans J. Home monitoring of patients with chronic kidney disease. Nature Reviews Nephrology 2024;20(8):491 View