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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11437, 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)

Journals

  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, Lip G, Lane D, Chen Y, 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

Books/Policy Documents

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