Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13641, first published .
Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review

Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review

Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review

Authors of this article:

Godwin Denk Giebel 1 Author Orcid Image ;   Christian Gissel 1 Author Orcid Image

Journals

  1. Kyriakoulis K, Kollias A, Anagnostopoulos I, Gravvani A, Kalogeropoulos P, Destounis A, Stergiou G. Diagnostic accuracy of a novel cuffless self‐blood pressure monitor for atrial fibrillation screening in the elderly. The Journal of Clinical Hypertension 2019;21(12):1797 View
  2. Oguz M, Lanitis T, Li X, Wygant G, Singer D, Friend K, Hlavacek P, Nikolaou A, Mattke S. Cost-Effectiveness of Extended and One-Time Screening Versus No Screening for Non-Valvular Atrial Fibrillation in the USA. Applied Health Economics and Health Policy 2020;18(4):533 View
  3. Eerikäinen L, Bonomi A, Dekker L, Vullings R, Aarts R. Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review. Cardiovascular Digital Health Journal 2020;1(1):45 View
  4. Turchioe M, Jimenez V, Isaac S, Alshalabi M, Slotwiner D, Creber R. Review of mobile applications for the detection and management of atrial fibrillation. Heart Rhythm O2 2020;1(1):35 View
  5. Dai H, Zheng C, Lin C, Zhang Y, Zhang H, Chen F, Liu Y, Xiao J, Chen C. Technology-Based Interventions in Oral Anticoagulation Management: Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2020;22(7):e18386 View
  6. Seshadri D, Bittel B, Browsky D, Houghtaling P, Drummond C, Desai M, Gillinov A. Accuracy of the Apple Watch 4 to Measure Heart Rate in Patients With Atrial Fibrillation. IEEE Journal of Translational Engineering in Health and Medicine 2020;8:1 View
  7. 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
  8. Prasitlumkum N, Cheungpasitporn W, Chokesuwattanaskul A, Thangjui S, Thongprayoon C, Bathini T, Vallabhajosyula S, Kanitsoraphan C, Leesutipornchai T, Chokesuwattanaskul R. Diagnostic accuracy of smart gadgets/wearable devices in detecting atrial fibrillation: A systematic review and meta-analysis. Archives of Cardiovascular Diseases 2021;114(1):4 View
  9. Inui T, Kohno H, Kawasaki Y, Matsuura K, Ueda H, Tamura Y, Watanabe M, Inage Y, Yakita Y, Wakabayashi Y, Matsumiya G. Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study. JMIR Cardio 2020;4(1):e14857 View
  10. Khurshid S, Healey J, McIntyre W, Lubitz S. Population-Based Screening for Atrial Fibrillation. Circulation Research 2020;127(1):143 View
  11. Dobrev D, Potpara T. Smart device-based detection of atrial fibrillation: Opportunities and challenges in the emerging world of digital health. International Journal of Cardiology 2020;302:108 View
  12. Giebel G. Use of mHealth Devices to Screen for Atrial Fibrillation: Cost-Effectiveness Analysis. JMIR mHealth and uHealth 2020;8(10):e20496 View
  13. Wong K, Klimis H, Lowres N, von Huben A, Marschner S, Chow C. Diagnostic accuracy of handheld electrocardiogram devices in detecting atrial fibrillation in adults in community versus hospital settings: a systematic review and meta-analysis. Heart 2020;106(16):1211 View
  14. Kwon S, Hong J, Choi E, Lee B, Baik C, Lee E, Jeong E, Koo B, Oh S, Yi Y. Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study. Journal of Medical Internet Research 2020;22(5):e16443 View
  15. Zhang X, Li J, Cai Z, Zhang L, Chen Z, Liu C. Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection. Medical & Biological Engineering & Computing 2021;59(1):165 View
  16. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Journal of Arrhythmia 2021;37(2):271 View
  17. Tuboly G, Kozmann G, Kiss O, Merkely B. Atrial fibrillation detection with and without atrial activity analysis using lead-I mobile ECG technology. Biomedical Signal Processing and Control 2021;66:102462 View
  18. Faust O, Ciaccio E, Acharya U. A Review of Atrial Fibrillation Detection Methods as a Service. International Journal of Environmental Research and Public Health 2020;17(9):3093 View
  19. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Cardiovascular Digital Health Journal 2021;2(1):4 View
  20. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Annals of Noninvasive Electrocardiology 2021;26(2) View
  21. Vodička S, Naji H, Zelko E. The Role of Telecardiology in Dealing with Patients with Cardiac Rhythm Disorders in Family Medicine – Systematic Review. Slovenian Journal of Public Health 2020;59(2):108 View
  22. Lopez Perales C, Van Spall H, Maeda S, Jimenez A, Laţcu D, Milman A, Kirakoya-Samadoulougou F, Mamas M, Muser D, Casado Arroyo R. Mobile health applications for the detection of atrial fibrillation: a systematic review. EP Europace 2021;23(1):11 View
  23. Andrade J, Aguilar M, Atzema C, Bell A, Cairns J, Cheung C, Cox J, Dorian P, Gladstone D, Healey J, Khairy P, Leblanc K, McMurtry M, Mitchell L, Nair G, Nattel S, Parkash R, Pilote L, Sandhu R, Sarrazin J, Sharma M, Skanes A, Talajic M, Tsang T, Verma A, Verma S, Whitlock R, Wyse D, Macle L. The 2020 Canadian Cardiovascular Society/Canadian Heart Rhythm Society Comprehensive Guidelines for the Management of Atrial Fibrillation. Canadian Journal of Cardiology 2020;36(12):1847 View
  24. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society. Circulation: Arrhythmia and Electrophysiology 2021;14(2) View
  25. Ashburner J, Lee P, Rivet C, Barr Vermilya H, Lubitz S, Zai A. The Implementation and Acceptability of a Mobile Application for Screening for Atrial Fibrillation at Home. Telemedicine and e-Health 2021;27(11):1305 View
  26. Biersteker T, Schalij M, Treskes R. Impact of Mobile Health Devices for the Detection of Atrial Fibrillation: Systematic Review. JMIR mHealth and uHealth 2021;9(4):e26161 View
  27. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. European Heart Journal - Digital Health 2021;2(1):7 View
  28. Kwon S, Lee S, Choi E, Ahn H, Song H, Lee Y, Oh S. Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation Patients. Sensors 2021;21(9):3122 View
  29. Pitman B, Chew S, Wong C, Jaghoori A, Iwai S, Thomas G, Chew A, Sanders P, Lau D. Performance of a Mobile Single-Lead Electrocardiogram Technology for Atrial Fibrillation Screening in a Semirural African Population: Insights From “The Heart of Ethiopia: Focus on Atrial Fibrillation” (TEFF-AF) Study. JMIR mHealth and uHealth 2021;9(5):e24470 View
  30. Müller C, Hengstmann U, Fuchs M, Kirchner M, Kleinjung F, Mathis H, Martin S, Bläse I, Perings S. Distinguishing atrial fibrillation from sinus rhythm using commercial pulse detection systems: The non-interventional BAYathlon study. DIGITAL HEALTH 2021;7:205520762110196 View
  31. Phillips D, O’Callaghan P, Zaidi A, van de Sande D, de la Garza M, Mango a, Simovic S, Chakir M. Arrhythmia in an athlete diagnosed by smartphone electrocardiogram: a case report. European Heart Journal - Case Reports 2021;5(5) View
  32. Wang L, Nielsen K, Goldberg J, Brown J, Rumsfeld J, Steinberg B, Zhang Y, Matheny M, Shah R. Association of Wearable Device Use With Pulse Rate and Health Care Use in Adults With Atrial Fibrillation. JAMA Network Open 2021;4(5):e215821 View
  33. Kotalczyk A, Mazurek M, Jędrzejczyk-Patej E. New methods of detecting atrial fibrillation. In a good rythm 2020;3(56):23 View
  34. Jo Y, Kwon J, Jeon K, Cho Y, Shin J, Lee Y, Jung M, Ban J, Kim K, Lee S, Park J, Oh B. Detection and classification of arrhythmia using an explainable deep learning model. Journal of Electrocardiology 2021;67:124 View
  35. Masterson Creber R, Turchioe M. Returning Cardiac Rhythm Data to Patients. Cardiac Electrophysiology Clinics 2021;13(3):555 View
  36. van der Velden R, Verhaert D, Hermans A, Duncker D, Manninger M, Betz K, Gawalko M, Desteghe L, Pisters R, Hemels M, Pison L, Sohaib A, Sultan A, Steven D, Wijtvliet P, Gupta D, Svennberg E, Luermans J, Chaldoupi M, Vernooy K, den Uijl D, Lodzinski P, Jansen W, Eckstein J, Bollmann A, Vandervoort P, Crijns H, Tieleman R, Heidbuchel H, Pluymaekers N, Hendriks J, Linz D. The photoplethysmography dictionary: practical guidance on signal interpretation and clinical scenarios from TeleCheck-AF. European Heart Journal - Digital Health 2021;2(3):363 View
  37. Betz K, van der Velden R, Gawalko M, Hermans A, Pluymaekers N, Hillmann H, Hendriks J, Duncker D, Linz D. Interpretation der Photoplethysmographie: Schritt für Schritt. Herzschrittmachertherapie + Elektrophysiologie 2021;32(3):406 View
  38. Książczyk M, Dębska-Kozłowska A, Warchoł I, Lubiński A. Enhancing Healthcare Access–Smartphone Apps in Arrhythmia Screening: Viewpoint. JMIR mHealth and uHealth 2021;9(8):e23425 View
  39. Philip B, Abdelrazek M, Bonti A, Barnett S, Grundy J. Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis. JMIR mHealth and uHealth 2022;10(3):e30468 View
  40. Sattar Y, Song D, Sarvepalli D, Zaidi S, Ullah W, Arshad J, Mir T, Zghouzi M, Elgendy I, Qureshi W, Chalfoun N, Alraies M. Accuracy of pulsatile photoplethysmography applications or handheld devices vs. 12-lead ECG for atrial fibrillation screening: a systematic review and meta-analysis. Journal of Interventional Cardiac Electrophysiology 2022;65(1):33 View
  41. Pitman B, Chew S, Wong C, Jaghoori A, Iwai S, Lyrtzis E, Lim M, Chew R, Chew A, Sanders P, Lau D. Prevalence and risk factors for atrial fibrillation in a semi-rural sub-Saharan African population: The hEart oF ethiopia: Focus on Atrial Fibrillation (TEFF-AF) Study. Heart Rhythm O2 2022;3(6):839 View
  42. Naseri Jahfari A, Tax D, Reinders M, van der Bilt I. Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View. JMIR Medical Informatics 2022;10(1):e29434 View
  43. Van Chien D, Thanh Binh N, Dung N, Truong Son P, Della Rocca D. Applicability of a Novel Wearable Wireless Electrocardiogram Monitoring Device (Spyder) for Arrhythmia Detection in Patients with Suspected Cardiac Arrhythmias. Cardiology Research and Practice 2021;2021:1 View
  44. Bonnechère B, Rintala A, Spooren A, Lamers I, Feys P. Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review. Brain Sciences 2021;11(9):1187 View
  45. Chen W, Khurshid S, Singer D, Atlas S, Ashburner J, Ellinor P, McManus D, Lubitz S, Chhatwal J. Cost-effectiveness of Screening for Atrial Fibrillation Using Wearable Devices. JAMA Health Forum 2022;3(8):e222419 View
  46. Kumar D, Maharjan R, Maxhuni A, Dominguez H, Frølich A, Bardram J. mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening. ACM Transactions on Computing for Healthcare 2022;3(2):1 View
  47. 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
  48. Giebel G, Speckemeier C, Abels C, Börchers K, Wasem J, Blase N, Neusser S. Problems and Barriers Related to the Use of Digital Health Applications: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(4):e32702 View
  49. Adasuriya G, Haldar S. Remote Monitoring of Cardiac Arrhythmias Using Wearable Digital Technology: Paradigm Shift or Pipe Dream?. European Journal of Arrhythmia & Electrophysiology 2022;8(1):7 View
  50. Santala O, Halonen J, Martikainen S, Jäntti H, Rissanen T, Tarvainen M, Laitinen T, Laitinen T, Väliaho E, Hartikainen J, Martikainen T, Lipponen J. Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study. JMIR mHealth and uHealth 2021;9(10):e29933 View
  51. Wouters F, Gruwez H, Vranken J, Ernon L, Mesotten D, Vandervoort P, Verhaert D. Will Smartphone Applications Replace the Insertable Cardiac Monitor in the Detection of Atrial Fibrillation? The First Comparison in a Case Report of a Cryptogenic Stroke Patient. Frontiers in Cardiovascular Medicine 2022;9 View
  52. Hillmann H, Soltani S, Mueller-Leisse J, Hohmann S, Duncker D. Cardiac Rhythm Monitoring Using Wearables for Clinical Guidance before and after Catheter Ablation. Journal of Clinical Medicine 2022;11(9):2428 View
  53. Wouters F, Gruwez H, Vranken J, Vanhaen D, Daelman B, Ernon L, Mesotten D, Vandervoort P, Verhaert D. The Potential and Limitations of Mobile Health and Insertable Cardiac Monitors in the Detection of Atrial Fibrillation in Cryptogenic Stroke Patients: Preliminary Results From the REMOTE Trial. Frontiers in Cardiovascular Medicine 2022;9 View
  54. 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
  55. Richardson E, Hall A, Hare C, Le Page P, Mitchell A. Screening for Heart Disease in the Age of Digital Health Technologies: Who, When, and How?. EMJ Cardiology 2022 View
  56. Lee C, Lee C, Fernando C, Chow C. Comparison of Apple Watch vs KardiaMobile: A Tale of Two Devices. CJC Open 2022;4(11):939 View
  57. Kwon S, Lee S, Choi E, Ahn H, Song H, Lee Y, Oh S, Lip G. Comparison Between the 24-hour Holter Test and 72-hour Single-Lead Electrocardiogram Monitoring With an Adhesive Patch-Type Device for Atrial Fibrillation Detection: Prospective Cohort Study. Journal of Medical Internet Research 2022;24(5):e37970 View
  58. Passman R. Mobile health technologies in the diagnosis and management of atrial fibrillation. Current Opinion in Cardiology 2022;37(1):1 View
  59. Hermans A, Gawalko M, Dohmen L, van der Velden R, Betz K, Verhaert D, Pluymaekers N, Hendriks J, Linz D. A systematic review of mobile health opportunities for atrial fibrillation detection and management. European Journal of Preventive Cardiology 2022;29(5):e205 View
  60. Han C, Yang F, Guo X, Bai Y, Liu G, Sun H, Wang P, Liu W, Wang R. Ultra‐Stretchable Self‐Healing Composite Hydrogels as Touch Panel. Advanced Materials Interfaces 2021;8(18) View
  61. Bonini N, Vitolo M, Imberti J, Proietti M, Romiti G, Boriani G, Paaske Johnsen S, Guo Y, Lip G. Mobile health technology in atrial fibrillation. Expert Review of Medical Devices 2022;19(4):327 View
  62. Khurshid S, Chen W, Singer D, Atlas S, Ashburner J, Choi J, Hur C, Ellinor P, McManus D, Chhatwal J, Lubitz S. Comparative Clinical Effectiveness of Population‐Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision‐Analytic Model. Journal of the American Heart Association 2021;10(18) View
  63. Musa E, Levitan A, Hughes G. Wearable Health Technology for the Diagnosis and Management of Atrial Fibrillation: A Systematic Review. Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal 2021;5(4):1 View
  64. Galavi Z, Khajouei R. Proposing an initial model for the heuristic evaluation of mHealth applications. Informatics in Medicine Unlocked 2023;41:101322 View
  65. Sarapata G, Dushin Y, Morinan G, Ong J, Budhdeo S, Kainz B, O'Keeffe J. Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease. IEEE Journal of Biomedical and Health Informatics 2023;27(10):5032 View
  66. Scardulla F, Cosoli G, Spinsante S, Poli A, Iadarola G, Pernice R, Busacca A, Pasta S, Scalise L, D'Acquisto L. Photoplethysmograhic sensors, potential and limitations: Is it time for regulation? A comprehensive review. Measurement 2023;218:113150 View
  67. Gu H, Huang J, Liu X, Qiao S, Cao X. Effectiveness of single‐lead ECG devices for detecting atrial fibrillation: An overview of systematic reviews. Worldviews on Evidence-Based Nursing 2024;21(1):79 View
  68. Corica B, Bonini N, Imberti J, Romiti G, Vitolo M, Attanasio L, Basili S, Freedman B, Potpara T, Boriani G, Lip G, Proietti M, De Rosa S. Yield of diagnosis and risk of stroke with screening strategies for atrial fibrillation: a comprehensive review of current evidence. European Heart Journal Open 2023;3(2) View
  69. Hatfaludi C, Danu M, Leonte H, Popescu A, Condrea F, Aldea G, Sandu A, Leordeanu M, Suciu C, Rodean I, Itu L. Applications of Artificial Intelligence in Cardiovascular Emergencies – Status Quo and Outlook. Journal of Cardiovascular Emergencies 2023;9(4):83 View
  70. van der Velden R, Bonander C, Crijns H, Kemp-Gudmundsdottir K, Engdahl J, Linz D, Svennberg E. Adherence to a handheld device-based atrial fibrillation screening protocol is associated with clinical outcomes. Heart 2024:heartjnl-2023-323522 View
  71. Kim J, Lee S, Ko B, Lee M, Lee Y, Lee K. Identification of Atrial Fibrillation With Single-Lead Mobile ECG During Normal Sinus Rhythm Using Deep Learning. Journal of Korean Medical Science 2024;39(5) View

Books/Policy Documents

  1. Elshafeey A, Mhaimeed O, Al Ani J, Elshazly M. Machine Learning in Cardiovascular Medicine. View
  2. Braunstein M. Health Informatics on FHIR: How HL7's API is Transforming Healthcare. View
  3. Niwa M. Mobile Health (mHealth). View
  4. Jat A, Grønli T. Mobile Web and Intelligent Information Systems. View
  5. Garse S, Dalal D, Dokhale S, Devarajan S. Applying Machine Learning Techniques to Bioinformatics. View