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

Wearable Devices and Sensors (657) Cardiac Arrhythmia, Atrial Fibrillation (64) Novel Sensors and Data Acquisition Methods in Cardiology (153) mHealth in a Clinical Setting (492) mHealth for Data Collection and Research (675) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1030)

Published on in Vol 9 , No 10 (2021) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29933, first published .
Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study

Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study

Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study

Authors of this article:

Onni E Santala 1, 2 Author Orcid Image ;   Jari Halonen 1, 3 Author Orcid Image ;   Susanna Martikainen 4 Author Orcid Image ;   Helena Jäntti 5 Author Orcid Image ;   Tuomas T Rissanen 6 Author Orcid Image ;   Mika P Tarvainen 7, 8 Author Orcid Image ;   Tomi P Laitinen 1, 8 Author Orcid Image ;   Tiina M Laitinen 8 Author Orcid Image ;   Eemu Samuli Väliaho 1, 2 Author Orcid Image ;   Juha E K Hartikainen 1, 3 Author Orcid Image ;   Tero J Martikainen 9 Author Orcid Image ;   Jukka A Lipponen 7 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Li L, Wang Z, Cui L, Xu Y, Lee H, Guan K. The efficacy of a novel smart watch on medicine adherence and symptom control of allergic rhinitis patients: Pilot study. World Allergy Organization Journal 2023;16(1):100739 View
  2. Shen Y, Xu W, Liang A, Wang X, Lu X, Lu Z, Gao C. Online health management continuance and the moderating effect of service type and age difference: A meta-analysis. Health Informatics Journal 2022;28(3):146045822211199 View
  3. Bonura A, Motolese F, Capone F, Iaccarino G, Alessiani M, Ferrante M, Calandrelli R, Lazzaro V, Pilato F. Smartphone App in Stroke Management: A Narrative Updated Review. Journal of Stroke 2022;24(3):323 View
  4. Santala O, Lipponen J, Jäntti H, Rissanen T, Tarvainen M, Laitinen T, Laitinen T, Castrén M, Väliaho E, Rantula O, Naukkarinen N, Hartikainen J, Halonen J, Martikainen T. Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study. JMIR Cardio 2022;6(1):e31230 View
  5. 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
  6. Martini C, Di Maria B, Reverberi C, Tuttolomondo D, Gaibazzi N. Commercially Available Heart Rate Monitor Repurposed for Automatic Arrhythmia Detection with Snapshot Electrocardiographic Capability: A Pilot Validation. Diagnostics 2022;12(3):712 View
  7. Cao Y, Zhao X, Yang Y, Zhu S, Zheng L, Ying T, Sha Z, Zhu R, Wu T. Potential of electronic devices for detection of health problems in older adults at home: A systematic review and meta-analysis. Geriatric Nursing 2023;51:54 View