Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45137, first published .
Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial

Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial

Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial

Journals

  1. Härtl J, Penkert H, Martens E, Wunderlich S. Detektion von Vorhofflimmern mit Smartwatches. DNP – Die Neurologie & Psychiatrie 2024;25(4):22 View
  2. Fekete M, Liotta E, Molnar T, Fülöp G, Lehoczki A. The role of atrial fibrillation in vascular cognitive impairment and dementia: epidemiology, pathophysiology, and preventive strategies. GeroScience 2024;47(1):287 View
  3. Alipour P, El-Aghil M, Foo A, Azizi Z. Leveraging Mobile Health and Wearable Technologies for the Prevention and Management of Atherosclerotic Cardiovascular Disease. Current Atherosclerosis Reports 2025;27(1) View
  4. Yada H, Soejima K. Digital Transformation in Cardiology ― Mobile Health ―. Circulation Journal 2025 View

Conference Proceedings

  1. Chen D, Han D, Mercado-Díaz L, Moon J, Chon K. 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). Smartwatch Photoplethysmogram-Based Atrial Fibrillation Detection with Premature Atrial and Ventricular Contraction Differentiation Using Densely Connected Convolutional Neural Networks View