Published on in Vol 3, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at, first published .
Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study

Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study

Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study


  1. 周 熙. Research Progress of Application of Ambulatory Electrocardiogram in Elderly Atrial Fibrillation. Advances in Clinical Medicine 2020;10(04):504 View
  2. Bashar S, Han D, Hajeb-Mohammadalipour S, Ding E, Whitcomb C, McManus D, Chon K. Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches. Scientific Reports 2019;9(1) View
  3. Ding E, Marcus G, McManus D. Emerging Technologies for Identifying Atrial Fibrillation. Circulation Research 2020;127(1):128 View
  4. Waring M, Hills M, Lessard D, Saczynski J, Libby B, Holovatska M, Kapoor A, Kiefe C, McManus D. Characteristics Associated With Facebook Use and Interest in Digital Disease Support Among Older Adults With Atrial Fibrillation: Cross-Sectional Analysis of Baseline Data From the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF) Cohort. JMIR Cardio 2019;3(2):e15320 View
  5. Han D, Bashar S, Mohagheghian F, Ding E, Whitcomb C, McManus D, Chon K. Premature Atrial and Ventricular Contraction Detection Using Photoplethysmographic Data from a Smartwatch. Sensors 2020;20(19):5683 View
  6. Nazarian S, Lam K, Darzi A, Ashrafian H. Diagnostic Accuracy of Smartwatches for the Detection of Cardiac Arrhythmia: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(8):e28974 View
  7. Dickson E, Ding E, Saczynski J, Han D, Moonis M, Fitzgibbons T, Barton B, Chon K, McManus D. Smartwatch monitoring for atrial fibrillation after stroke—The Pulsewatch Study: Protocol for a multiphase randomized controlled trial. Cardiovascular Digital Health Journal 2021;2(4):231 View
  8. Baman J, Mathew D, Jiang M, Passman R. Mobile Health for Arrhythmia Diagnosis and Management. Journal of General Internal Medicine 2022;37(1):188 View
  9. Patel J, Sadiq H, Catanzaro J, Crawford S, Wright A, Manning G, Allison J, Mazor K, McManus D, Kapoor A. SUPPORT‐AF IV: Supporting Use of AC through Provider Prompting about Oral Anticoagulation Therapy for AF Clinical Trial Study Protocol. Cardiovascular Digital Health Journal 2021 View
  10. Belani S, Wahood W, Hardigan P, Placzek A, Ely S. Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology. Cureus 2021 View
  11. Han D, Bashar S, Lázaro J, Mohagheghian F, Peitzsch A, Nishita N, Ding E, Dickson E, DiMezza D, Scott J, Whitcomb C, Fitzgibbons T, McManus D, Chon K. A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia. Biosensors 2022;12(2):82 View
  12. PAPACCIOLI G, BASSI G, LUGI C, PARENTE E, D’ANDREA A, PROIETTI R, IMBALZANO E, AL TURKI A, RUSSO V. Smartphone and new tools for atrial fibrillation diagnosis: evidence for clinical applicability. Minerva Cardiology and Angiology 2022;70(5) View
  13. Ramesh J, Solatidehkordi Z, Aburukba R, Sagahyroon A. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks. Sensors 2021;21(21):7233 View
  14. Khundaqji H, Hing W, Furness J, Climstein M. Wearable technology to inform the prediction and diagnosis of cardiorespiratory events: a scoping review. PeerJ 2021;9:e12598 View
  15. Aziz Butt S, Khalid A, Ali A. A software development for medical with a multiple decision taking functionalities. Advances in Engineering Software 2022;174:103294 View
  16. Xintarakou A, Sousonis V, Asvestas D, Vardas P, Tzeis S. Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives. Frontiers in Cardiovascular Medicine 2022;9 View
  17. Baman J, Passman R. The future of long‐term monitoring after catheter and surgical ablation for atrial fibrillation. Journal of Cardiovascular Electrophysiology 2022;33(8):1911 View
  18. Zhu Z, Ren Y, Duan P, Pan W. Modeling of Smart Watch and System Construction Method for the Elderly Based on Big Data. Mathematical Problems in Engineering 2022;2022:1 View
  19. Chang P, Wen M, Chou C, Wang C, Hung K. Atrial fibrillation detection using ambulatory smartwatch photoplethysmography and validation with simultaneous holter recording. American Heart Journal 2022;247:55 View
  20. 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
  21. Shrestha A, Khanal B, Mainali N, Shrestha S, Chapagain S, Umar T, Jaiswal V. Navigating the Role of Smartwatches in Cardiac Fitness Monitoring: Insights From Physicians and the Evolving Landscape. Current Problems in Cardiology 2024;49(1):102073 View
  22. Ding E, Tran K, Lessard D, Wang Z, Han D, Mohagheghian F, Mensah Otabil E, Noorishirazi K, Mehawej J, Filippaios A, Naeem S, Gottbrecht M, Fitzgibbons T, Saczynski J, Barton B, Chon K, McManus D. Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial. JMIR Cardio 2023;7:e45137 View
  23. Ghazizadeh E, Naseri Z, Deigner H, Rahimi H, Altintas Z. Approaches of wearable and implantable biosensor towards of developing in precision medicine. Frontiers in Medicine 2024;11 View

Books/Policy Documents

  1. Cipriano M, Costagliola G, De Rosa M, Fuccella V, Shevchenko S. Innovation in Medicine and Healthcare. View
  2. Dong Han , Fahimeh Mohagheghian , Ki H. Chon . Encyclopedia of Sensors and Biosensors. View