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

mHealth for Screening (213) Cardiac Arrhythmia, Atrial Fibrillation (84) Novel Sensors and Data Acquisition Methods in Cardiology (196)

Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12284, first published .
Mobile Phone–Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App

Mobile Phone–Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App

Mobile Phone–Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App

Authors of this article:

Tine Proesmans1 Author Orcid Image ;   Christophe Mortelmans2 Author Orcid Image ;   Ruth Van Haelst2 Author Orcid Image ;   Frederik Verbrugge1 Author Orcid Image ;   Pieter Vandervoort1 Author Orcid Image ;   Bert Vaes2 Author Orcid Image
Article Authors Cited by (83) Tweetations (8) Metrics

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Books/Policy Documents

  1. Tao J, Xie S, Jiang J, Wei W. Artificial Intelligence Algorithms and Applications. View
  2. Lemay M, Bertschi M, Sola J, Renevey P, Genzoni E, Proença M, Ferrario D, Braun F, Parak J, Korhonen I. Wearable Sensors. View