Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at, first published .
Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry)

Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry)

Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry)


  1. Eerikainen L, Bonomi A, Schipper F, Dekker L, de Morree H, Vullings R, Aarts R. Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1610 View
  2. Guo Y, Liu T, Chen Y, Lip G. Reply. Journal of the American College of Cardiology 2020;75(11):1366 View
  3. Zhang H, Zhang J, Li H, Chen Y, Yang B, Guo Y, Chen Y. Validation of Single Centre Pre-Mobile Atrial Fibrillation Apps for Continuous Monitoring of Atrial Fibrillation in a Real-World Setting: Pilot Cohort Study. Journal of Medical Internet Research 2019;21(12):e14909 View
  4. 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
  5. Guo Y, Wang H, Zhang H, Chen Y, Lip G. Population-Based Screening or Targeted Screening Based on Initial Clinical Risk Assessment for Atrial Fibrillation: A Report from the Huawei Heart Study. Journal of Clinical Medicine 2020;9(5):1493 View
  6. Jones N, Taylor C, Hobbs F, Bowman L, Casadei B. Screening for atrial fibrillation: a call for evidence. European Heart Journal 2020;41(10):1075 View
  7. Harrison S, Lane D, Guo Y, Lip G. The potential for photoplethysmographic (PPG)-based smart devices in atrial fibrillation detection. Expert Review of Medical Devices 2020;17(4):253 View
  8. 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
  9. Guo Y, Wang H, Zhang H, Liu T, Liang Z, Xia Y, Yan L, Xing Y, Shi H, Li S, Liu Y, Liu F, Feng M, Chen Y, Lip G, Guo Y, Lane D, Wang L, Eckstein J, Thomas G, Tong L, Mei F, Xuejun L, Xiaoming L, Zhaoliang S, Xiangming S, Wei Z, Yunli X, Jing W, Fan W, Sitong Y, Xiaoqing J, Bo Y, Xiaojuan B, Yuting J, Yangxia L, Yingying S, Zhongju T, Li Y, Tianzhu L, Chunfeng N, Lili Z, Shuyan L, Zulu W, Bing X, Liming L, Yuanzhe J, Yunlong X, Xiaohong C, Fang W, Lina Z, yihong S, shujie J, Jing L, Nan L, shijun L, huixia L, Rong L, Fan L, qingfeng G, tianyun G, Yuan W, Xin L, Yan R, xiaoping C, ronghua C, Yun S, yulan Z, haili S, yujie Z, quanchun W, weidong S, Lin W, Chan E, Guangliang S, Chen Y, Wei Z, Dandi C, Xiang H, Anding X, Xiaohan F, Ziqiang Y, Xiang G, Fulin G. Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation. Journal of the American College of Cardiology 2019;74(19):2365 View
  10. Giebel G, Gissel C. Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review. JMIR mHealth and uHealth 2019;7(6):e13641 View
  11. Hilbert S, Hindricks G. Telemedizin und EKG-Monitoring. Herzschrittmachertherapie + Elektrophysiologie 2020;31(3):260 View
  12. Pereira T, Tran N, Gadhoumi K, Pelter M, Do D, Lee R, Colorado R, Meisel K, Hu X. Photoplethysmography based atrial fibrillation detection: a review. npj Digital Medicine 2020;3(1) View
  13. Dagher L, Shi H, Zhao Y, Marrouche N. Wearables in cardiology: Here to stay. Heart Rhythm 2020;17(5):889 View
  14. Mol D, Riezebos R, Marquering H, Werner M, Lobban T, de Jong J, de Groot J. Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation. Cardiovascular Digital Health Journal 2020;1(2):107 View
  15. 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
  16. Bayoumy K, Gaber M, Elshafeey A, Mhaimeed O, Dineen E, Marvel F, Martin S, Muse E, Turakhia M, Tarakji K, Elshazly M. Smart wearable devices in cardiovascular care: where we are and how to move forward. Nature Reviews Cardiology 2021;18(8):581 View
  17. Yang T, Huang L, Malwade S, Hsu C, Chen Y. Diagnostic Accuracy of Ambulatory Devices in Detecting Atrial Fibrillation: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2021;9(4):e26167 View
  18. Väliaho E, Kuoppa P, Lipponen J, Hartikainen J, Jäntti H, Rissanen T, Kolk I, Pohjantähti-Maaroos H, Castrén M, Halonen J, Tarvainen M, Santala O, Martikainen T. Wrist Band Photoplethysmography Autocorrelation Analysis Enables Detection of Atrial Fibrillation Without Pulse Detection. Frontiers in Physiology 2021;12 View
  19. Zhang Z, Qi M, Hügli G, Khatami R. The Challenges and Pitfalls of Detecting Sleep Hypopnea Using a Wearable Optical Sensor: Comparative Study. Journal of Medical Internet Research 2021;23(7):e24171 View
  20. Kareem M, Lei N, Ali A, Ciaccio E, Acharya U, Faust O. A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke. Biomedical Signal Processing and Control 2021;69:102818 View
  21. Zink M, Eberhardt F, Napp A, Gramlich M. Detektion von Vorhofflimmern mit Wearables. Kardiologie up2date 2022;18(02):129 View
  22. Guo Y, Wang H, Zhang H, Liu T, Li L, Liu L, Chen M, Chen Y, Lip G. Photoplethysmography-Based Machine Learning Approaches for Atrial Fibrillation Prediction. JACC: Asia 2021;1(3):399 View
  23. Wang Y, Xu X, Hajra A, Apple S, Kharawala A, Duarte G, Liaqat W, Fu Y, Li W, Chen Y, Faillace R. Current Advancement in Diagnosing Atrial Fibrillation by Utilizing Wearable Devices and Artificial Intelligence: A Review Study. Diagnostics 2022;12(3):689 View
  24. Hermans A, Gawalko M, Dohmen L, van der Velden R, Betz K, Duncker D, Verhaert D, Heidbuchel H, Svennberg E, Neubeck L, Eckstein J, Lane D, Lip G, Crijns H, Sanders P, Hendriks J, Pluymaekers N, Linz D. Mobile health solutions for atrial fibrillation detection and management: a systematic review. Clinical Research in Cardiology 2022;111(5):479 View
  25. Christopoulou S. Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review. Healthcare 2022;10(4):685 View
  26. Saarinen H, Joutsen A, Korpi K, Halkola T, Nurmi M, Hernesniemi J, Vehkaoja A. Wrist-worn device combining PPG and ECG can be reliably used for atrial fibrillation detection in an outpatient setting. Frontiers in Cardiovascular Medicine 2023;10 View
  27. Väliaho E, Lipponen J, Kuoppa P, Martikainen T, Jäntti H, Rissanen T, Castrén M, Halonen J, Tarvainen M, Laitinen T, Laitinen T, Santala O, Rantula O, Naukkarinen N, Hartikainen J. Continuous 24-h Photoplethysmogram Monitoring Enables Detection of Atrial Fibrillation. Frontiers in Physiology 2022;12 View
  28. Huang J, Wang J, Ramsey E, Leavey G, Chico T, Condell J. Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review. Sensors 2022;22(20):8002 View
  29. 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
  30. Gill S, Bunting K, Sartini C, Cardoso V, Ghoreishi N, Uh H, Williams J, Suzart-Woischnik K, Banerjee A, Asselbergs F, Eijkemans M, Gkoutos G, Kotecha D. Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis. Heart 2022;108(20):1600 View
  31. 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
  32. Loh H, Xu S, Faust O, Ooi C, Barua P, Chakraborty S, Tan R, Molinari F, Acharya U. Application of photoplethysmography signals for healthcare systems: An in-depth review. Computer Methods and Programs in Biomedicine 2022;216:106677 View
  33. Ben Itzhak S, Ricon S, Biton S, Behar J, Sobel J. Effect of temporal resolution on the detection of cardiac arrhythmias using HRV features and machine learning. Physiological Measurement 2022;43(4):045002 View
  34. 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
  35. Mandala S, Pratiwi Wibowo A, Adiwijaya , Suyanto , Zahid M, Rizal A. The Effects of Daubechies Wavelet Basis Function (DWBF) and Decomposition Level on the Performance of Artificial Intelligence-Based Atrial Fibrillation (AF) Detection Based on Electrocardiogram (ECG) Signals. Applied Sciences 2023;13(5):3036 View
  36. Guo Y, Zhang H, Lip G. Consumer-Led Screening for Atrial Fibrillation. JACC: Asia 2022;2(6):737 View
  37. Nagarajan V, Lee S, Robertus J, Nienaber C, Trayanova N, Ernst S. Artificial intelligence in the diagnosis and management of arrhythmias. European Heart Journal 2021;42(38):3904 View
  38. 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
  39. Li Y, Xie P, Alsheikh-Ali A, AlMahmeed W, Sulaiman K, Asaad N, Liu S, Zubaid M, Lip G. The “obesity paradox” in patients with atrial fibrillation: Insights from the Gulf SAFE registry. Frontiers in Cardiovascular Medicine 2022;9 View
  40. Svennberg E, Tjong F, Goette A, Akoum N, Di Biase L, Bordachar P, Boriani G, Burri H, Conte G, Deharo J, Deneke T, Drossart I, Duncker D, Han J, Heidbuchel H, Jais P, de Oliveira Figueiredo M, Linz D, Lip G, Malaczynska-Rajpold K, Márquez M, Ploem C, Soejima K, Stiles M, Wierda E, Vernooy K, Leclercq C, Meyer C, Pisani C, Pak H, Gupta D, Pürerfellner H, Crijns H, Chavez E, Willems S, Waldmann V, Dekker L, Wan E, Kavoor P, Turagam M, Sinner M. How to use digital devices to detect and manage arrhythmias: an EHRA practical guide. EP Europace 2022;24(6):979 View
  41. Sijerčić A, Tahirović E. Photoplethysmography-Based Smart Devices for Detection of Atrial Fibrillation. Texas Heart Institute Journal 2022;49(5) View
  42. Liu C, Tai M, Hu J, Zhu X, Wang W, Guo Y, Kan H, Chen R. Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset. npj Digital Medicine 2023;6(1) View
  43. 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 2023;Publish Ahead of Print View
  44. Basza M, Waląg D, Kowalczyk W, Bożym A, Ciurla M, Krzyżanowska M, Maciejewski C, Bojanowicz W, Soliński M, Kołtowski Ł. Photoplethysmography wave morphology in patients with atrial fibrillation. Physiological Measurement 2023;44(4):045001 View
  45. Niu Y, Wang H, Wang H, Zhang H, Jin Z, Guo Y. Diagnostic validation of smart wearable device embedded with single-lead electrocardiogram for arrhythmia detection. DIGITAL HEALTH 2023;9 View
  46. Pezawas T. ECG Smart Monitoring versus Implantable Loop Recorders for Atrial Fibrillation Detection after Cryptogenic Stroke—An Overview for Decision Making. Journal of Cardiovascular Development and Disease 2023;10(7):306 View
  47. Ibrahim N, Rampal S, Lee W, Pek E, Suhaimi A. Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study. Cardiovascular Engineering and Technology 2023 View
  48. Nardini S, Corbanese U, Visconti A, Dalle Mule J, Sanguinetti C, De Benedetto F. Improving the management of patients with chronic cardiac and respiratory diseases by extending pulse-oximeter uses: the dynamic pulse-oximetry. Multidisciplinary Respiratory Medicine 2023;18 View
  49. Tran H, Urgessa N, Geethakumari P, Kampa P, Parchuri R, Bhandari R, Alnasser A, Akram A, Kar S, Osman F, Mashat G, Mohammed L. Detection and Diagnostic Accuracy of Cardiac Arrhythmias Using Wearable Health Devices: A Systematic Review. Cureus 2023 View
  50. Wei L, Su E, Xie J, Xiong W, Song X, Xue J, Zhang C, Hu Y, Yu P, Liu M, Jiang H. Wearable dynamic electrocardiogram monitor-based screening for atrial fibrillation in the community-dwelling elderly population. Clinical eHealth 2024;7:41 View
  51. Fuster-Barceló C, Guerrero-López A, Camara C, Peris-Lopez P. Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability. Engineering Applications of Artificial Intelligence 2024;133:108325 View

Books/Policy Documents

  1. Tao J, Xie S, Jiang J, Wei W. Artificial Intelligence Algorithms and Applications. View