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

Cardiac Arrhythmia, Atrial Fibrillation (115) Registered Report (791) Mobile Health (mhealth) (3464) mHealth for Rehabilitation (352) mHealth for Data Collection and Research (1196) mHealth for Telemedicine and Homecare (531) Stroke (243) Emerging Technologies for Rehabilitation (348) Portable and Mobile Technologies for Rehabilitation (198) Cardiac Rehabilitation (110)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41691, first published .
A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study

A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study

A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study

Authors of this article:

Dong Han1 Author Orcid Image ;   Eric Y Ding2 Author Orcid Image ;   Chaeho Cho3 Author Orcid Image ;   Haewook Jung4, 5 Author Orcid Image ;   Emily L Dickson6 Author Orcid Image ;   Fahimeh Mohagheghian1 Author Orcid Image ;   Andrew G Peitzsch1 Author Orcid Image ;   Danielle DiMezza7 Author Orcid Image ;   Khanh-Van Tran2 Author Orcid Image ;   David D McManus2 Author Orcid Image ;   Ki H Chon1 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Mohagheghian F, Han D, Ghetia O, Chen D, Peitzsch A, Nishita N, Ding E, Mensah Otabil E, Noorishirazi K, Hamel A, Dickson E, DiMezza D, Tran K, McManus D, Chon K. Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder. Expert Systems with Applications 2024;237:121611 View
  2. de Marinis R, Marigi E, Atwan Y, Yang L, Oeding J, Gupta P, Pareek A, Sanchez-Sotelo J, Sperling J. Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next. JSES Reviews, Reports, and Techniques 2023;3(4):447 View
  3. Härtl J, Penkert H, Martens E, Wunderlich S. Detektion von Vorhofflimmern mit Smartwatches. DNP – Die Neurologie & Psychiatrie 2024;25(4):22 View
  4. Sulla Torres J, Montesinos Roderick Nestor C, Catalina Correa Herrera S, Balcázar J, Baca H, Toia A. Wearable System for Cardiac Diagnosis and Monitoring: Clustering Analysis and Usability Assessment Using Fractal Geometry. IEEE Access 2025;13:104742 View
  5. Sun Y, Chen J, Ji M, Li X. Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map. Journal of Medical Internet Research 2025;27:e69077 View
  6. Penkert H, Härtl J, Hapfelmeier A, Egert-Schwender S, Heimsch E, Friedenberg S, Müller A, Hahn F, Martens E, Wunderlich S. WATCH AFib: smartwatches for detection of atrial fibrillation in secondary prevention of cryptogenic stroke—protocol for a prospective, intraindividual-controlled, multicentre clinical study. Frontiers in Neurology 2025;16 View

Books/Policy Documents

  1. Sharma A, Bijo K, Manandhar S, Sharma L. Human-Computer Interaction. View

Conference Proceedings

  1. Boneva A, Ivanova V, Vasilev P, Ivanov S, Ivanova T. 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE). Big Data Processing for Bulgarian Healthcare - Smart Cards and Some Simulating Decisions View
  2. 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
  3. Han D, Moon J, Mercado Díaz L, Chen D, Williams D, Ding E, Tran K, McManus D, Chon K. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings View