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

Novel Sensors and Data Acquisition Methods in Cardiology (196) mHealth for Screening (213) Cardiac Arrhythmia, Atrial Fibrillation (84) mHealth in a Clinical Setting (615) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Wearable Devices and Sensors (888) Cardiac Diagnostics (15)

Published on in Vol 6, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31230, first published .
Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study

Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study

Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study

Authors of this article:

Onni E Santala1, 2 Author Orcid Image ;   Jukka A Lipponen3 Author Orcid Image ;   Helena Jäntti4 Author Orcid Image ;   Tuomas T Rissanen5 Author Orcid Image ;   Mika P Tarvainen3, 6 Author Orcid Image ;   Tomi P Laitinen1, 6 Author Orcid Image ;   Tiina M Laitinen6 Author Orcid Image ;   Maaret Castrén7 Author Orcid Image ;   Eemu-Samuli Väliaho1, 2 Author Orcid Image ;   Olli A Rantula1, 2 Author Orcid Image ;   Noora S Naukkarinen1, 2 Author Orcid Image ;   Juha E K Hartikainen1, 8 Author Orcid Image ;   Jari Halonen1, 8 Author Orcid Image ;   Tero J Martikainen9 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Moshawrab M, Adda M, Bouzouane A, Ibrahim H, Raad A. Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review. Sensors 2023;23(2):828 View
  2. Santala O, Lipponen J, Jäntti H, Rissanen T, Tarvainen M, Väliaho E, Rantula O, Naukkarinen N, Hartikainen J, Martikainen T, Halonen J. Novel Technologies in the Detection of Atrial Fibrillation: Review of Literature and Comparison of Different Novel Technologies for Screening of Atrial Fibrillation. Cardiology in Review 2024;32(5):440 View
  3. Manetas-Stavrakakis N, Sotiropoulou I, Paraskevas T, Maneta Stavrakaki S, Bampatsias D, Xanthopoulos A, Papageorgiou N, Briasoulis A. Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine 2023;12(20):6576 View
  4. Ma C, Xiao Z, Zhao L, Biton S, Behar J, Long X, Vullings R, Aarts R, Li J, Liu C. A Review on Atrial Fibrillation Detection From Ambulatory ECG. IEEE Transactions on Biomedical Engineering 2024;71(3):876 View
  5. 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
  6. Caiani E, Kemps H, Hoogendoorn P, Asteggiano R, Böhm A, Borregaard B, Boriani G, Brunner La Rocca H, Casado-Arroyo R, Castelletti S, Christodorescu R, Cowie M, Dendale P, Dunn F, Fraser A, Lane D, Locati E, Małaczyńska-Rajpold K, Merșa C, Neubeck L, Parati G, Plummer C, Rosano G, Scherrenberg M, Smirthwaite A, Szymanski P. Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee. European Heart Journal - Digital Health 2024;5(5):509 View