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Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation
Open accessAbstract
Background Low detection and nonadherence are major problems in current management approaches for patients with suspected atrial fibrillation (AF). Mobile health devices may enable earlier AF detection and improved AF management.Objectives This study sought to investigate the effectiveness of AF screening in a large population-based cohort using smart device-based photoplethysmography (PPG) technology, combined with a clinical care AF management pathway using a mobile health approach.Methods AF screening was performed with smart devices using PPG technology, which were made available for the population ≥18 years of age across China. Monitoring for at least 14 days with a wristband (Honor Band 4) or wristwatch (Huawei Watch GT, Honor Watch, Huawei Technologies Co., Ltd., Shenzhen, China) was allowed. The patients with "possible AF" episodes using the PPG algorithm were further confirmed by health providers among the MAFA (mobile AF app) Telecare center and network hospitals, with clinical evaluation, electrocardiogram, or 24-h Holter monitoring.Results There were 246,541 individuals who downloaded the PPG screening app, and 187,912 individuals used smart devices to monitor their pulse rhythm between October 26, 2018, and May 20, 2019. Among those with PPG monitoring (mean age 35 years, 86.7% male), 424 (of 187,912, 0.23%) (mean age 54 years, 87.0% male) received a "suspected AF" notification. Of those effectively followed up, 227 individuals (of 262, 87.0%) were confirmed as having AF, with the positive predictive value of PPG signals being 91.6% (95% confidential interval [CI]: 91.5% to 91.8%). Both suspected AF and identified AF markedly increased with age (p for trend <0.001), and individuals in Northeast China had the highest proportion of detected AF of 0.28% (95% CI: 0.20% to 0.39%). Of the individuals with identified AF, 216 (of 227, 95.1%) subsequently entered a program of integrated AF management using a mobile AF application; approximately 80% of high-risk patients were successfully anticoagulated.Conclusions Based on the present study, continuous home monitoring with smart device-based PPG technology could be a feasible approach for AF screening. This would help efforts at screening and detection of AF, as well as early interventions to reduce stroke and other AF-related complications. (Mobile Health [mHealth] Technology for Improved Screening, Patient Involvement and Optimizing Integrated Care in Atrial Fibrillation [MAFA II]; ChiCTR-OOC-17014138).
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“Another study also found a high PPV for possible AF episodes identified from 45- to 60-s PPG recordings”
From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [30]
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Antithrombotic Therapy for Atrial Fibrillation
Lip, G. Y. H., Banerjee, A., Boriani, G., Chiang, C. E., Fargo, R. A., Freedman, B., Lane, D. A., Ruff, C. T., Turakhia, M. P., Werring, D. J., et al. (2018) · CHEST Journal · doi:10.1016/j.chest.2018.07.040 · Cited by 963
Self-citationMass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study
Svennberg, E., Engdahl, J., Al-Khalili, F., Friberg, L., Frykman, V., & Rosenqvist, M. (2015) · Circulation · doi:10.1161/circulationaha.114.014343 · Cited by 605
Halcox, J. P. J., Wareham, K., Cardew, A., Gilmore, M., Barry, J. P., Phillips, C., & Gravenor, M. B. (2017) · Circulation · doi:10.1161/circulationaha.117.030583 · Cited by 580
Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch
Tison, G. H., Sanchez, J. M., Ballinger, B., Singh, A., Olgin, J. E., Pletcher, M. J., Vittinghoff, E., Lee, E. S., Fan, S. M., Gladstone, R. A., et al. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2018.0136 · Cited by 566
Steinhubl, S. R., Waalen, J., Edwards, A. M., Ariniello, L. M., Mehta, R. R., Ebner, G. S., Carter, C., Baca-Motes, K., Felicione, E., Sarich, T., et al. (2018) · JAMA · doi:10.1001/jama.2018.8102 · Cited by 539
Smartwatch Algorithm for Automated Detection of Atrial Fibrillation
Bumgarner, J. M., Lambert, C. T., Hussein, A. A., Cantillon, D. J., Baranowski, B., Wolski, K., Lindsay, B. D., Wazni, O. M., & Tarakji, K. G. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.03.003 · Cited by 446
Stroke prevention in atrial fibrillation: Past, present and future
Lip, G. Y. H., Freedman, B., Caterina, R. D., & Potpara, T. (2017) · Thrombosis and Haemostasis · doi:10.1160/th16-11-0876 · Cited by 400
Self-citationThe Global Burden of Atrial Fibrillation and Stroke
Lip, G. Y. H., Brechin, C. M., & Lane, D. A. (2012) · CHEST Journal · doi:10.1378/chest.11-2888 · Cited by 382
Self-citationDiagnostic utility of a novel leadless arrhythmia monitoring device.
Turakhia, M. P., Hoang, D. D., Zimetbaum, P., Miller, J. D., Froelicher, V. F., Kumar, U. N., Xu, X., Yang, F., & Heidenreich, P. A. (2013) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2013.04.017 · Cited by 258
Prevalence, Incidence, and Lifetime Risk of Atrial Fibrillation in China
Guo, Y., Tian, Y., Wang, H., Si, Q., Wang, Y., & Lip, G. Y. H. (2015) · Chest · doi:10.1378/chest.14-0321 · Cited by 255
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Flagged first, then by citations
Cited by
Sorted by citations
Items 301–400 of 495
The SilenT AtRial FIBrillation (STAR-FIB) study programme – design and rationale
Nozica, N., Lam, A., Goulouti, E., Elchinova, E., Spirito, A., Branca, M., Servatius, H., Noti, F., Seiler, J., Baldinger, S. H., et al. (2021) · Swiss Medical Weekly · doi:10.4414/smw.2021.20421 · Cited by 5
Aplin, M., Andersen, A., Brandes, A., Domínguez, H., Dahl, J. S., Damgaard, D., Iversen, H. K., Iversen, K. K., Nielsen, E., Risum, N., et al. (2021) · Scandinavian Cardiovascular Journal · doi:10.1080/14017431.2021.1973085 · Cited by 5
Guo, Y., & Lip, G. Y. H. (2021) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2021.08.026 · Cited by 5
Self-citationAdasuriya, G., & Haldar, S. (2022) · European Journal of Arrhythmia & Electrophysiology · doi:10.17925/ejae.2022.8.1.7 · Cited by 5
Atrial fibrillation detection using implantable cardiac monitors: Are we being too revealing?
PASSMAN, R. S. (2019) · American Heart Journal · doi:10.1016/j.ahj.2019.08.005 · Cited by 5
Machine learning-based prediction of new onset of atrial fibrillation after mitral valve surgery
Andrei, A., Cox, J. L., Shah, S. J., Malaisrie, S. C., Mehta, C. K., Efimov, I. R., Churyla, A., Kruse, J. T., & McCarthy, P. M. (2024) · International Journal of Arrhythmia · doi:10.1186/s42444-024-00127-4 · Cited by 4
Lei, J., Zhou, Y., Tian, X., Zhao, Q., Zhang, Q., Geng, S., Wu, Q., & Hong, S. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107028 · Cited by 5
Huette, P., Beyls, C., Diouf, M., Ibrahima, A., Haye, G., Guilbart, M., Lefebvre, T., Bayart, G., Lhotellier, F., Radji, M., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-097765 · Cited by 4
Global burden of early-onset atrial fibrillation and flutter: Population based study
Lu, Y., Liu, Y., Zhang, Y., Wang, H., & Xia, L. (2025) · International Journal of Cardiology · doi:10.1016/j.ijcard.2025.133862 · Cited by 4
Self-citationMachine Learning and Arrhythmia: Advances in Atrial Fibrillation Detection and Management
Yazdi, V., Kadiyala, V., & Chugh, S. S. (2025) · Current Atherosclerosis Reports · doi:10.1007/s11883-025-01366-z · Cited by 4
de Andrade, J. B. C., Pisa, I. T., de Oliveira, N. S., Gomes, R. P., de Morais, A. B. C. G., da Silva, J. V., Fagundes, T. P., & Goulart, T. O. (2025) · Cerebrovascular Diseases Extra · doi:10.1159/000550097 · Cited by 5
Schreier, K., Borger, M. A., Shamloo, A. S., Hofmann, L., Schröter, T., Eifert, S., Darma, A., Etz, C. D., Leontyev, S., Misfeld, M., et al. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1718350 · Cited by 4
Zuo, S., Zhou, L., Feng, H., Massad, C. M., Khalil, M. A., Wang, J., Wang, J., Zhao, Y., Li, F., Kong, X., et al. (2026) · JACC. Clinical electrophysiology · doi:10.1016/j.jacep.2026.03.036 · Cited by 4
Self-citationWouters, F., Gruwez, H., Vranken, J., Ernon, L., Mesotten, D., Vandervoort, P. M., & Verhaert, D. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.839853 · Cited by 4
Huh, K. Y., Jeong, S. I., Yoo, H., Piao, M., Ryu, H., Kim, H., Yoon, Y., Seong, S. J., Lee, S., & Kim, K. H. (2022) · Translational and Clinical Pharmacology · doi:10.12793/tcp.2022.30.e7 · Cited by 4
Cai, X. J., Tay, J. C. K., Jiang, Y., Yeo, K. K., Wong, P. E. H., Ho, K. L., Chong, D., Ti, L. K., Leong, G. K. T., Wong, K. C. K., et al. (2023) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2023.09.014 · Cited by 4
The global burden of atrial fibrillation: Voices from Asia and Brazil
Lip, G. Y. H., Srivatsa, U. N., & Poole, J. E. (2024) · Heart Rhythm O2 · doi:10.1016/j.hroo.2024.08.007 · Cited by 4
Self-citationAustrian consensus statement on the diagnosis and management of hypertrophic cardiomyopathy
Verheyen, N., Auer, J., Bonaros, N. E., Buchacher, T., Dalos, D., Grimm, M. F., Mayr, A., Rab, A., Reinstadler, S. J., Scherr, D., et al. (2024) · Wiener klinische Wochenschrift · doi:10.1007/s00508-024-02442-1 · Cited by 4
Wearables for arrhythmia care: Challenges and future prospects
Sarraju, A., & Turakhia, M. P. (2020) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2020.09.001 · Cited by 4
Schukraft, S., Boukhayma, A., Cook, S., & Caizzone, A. (2021) · JMIR Research Protocols · doi:10.2196/30051 · Cited by 4
Artificial intelligence in cardiac electrophysiology
Somani, S. S., Narayan, S. M., & Rogers, A. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15688-5.00021-8 · Cited by 4
Khurshid, S. S., Chang, Y., Borowsky, L. H., McManus, D. D., Ashburner, J. M., Atlas, S. J., Ellinor, P. T., Singer, D. E., & Lubitz, S. A. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100616 · Cited by 4
Yalın, K., Soysal, A. U., İkitimur, B., Yabaci, B. I., Onder, S. E., Atıcı, A., Tokdil, H., İncesu, G., Yalman, H., Çimci, M., et al. (2023) · Journal of Interventional Cardiac Electrophysiology · doi:10.1007/s10840-023-01695-6 · Cited by 4
Atrial Fibrillation Population Screening
Gruwez, H., Proesmans, T., Evens, S., Verbrugge, F. H., Deferm, S., Dauw, J., Willems, R., Vandervoort, P. M., Haemers, P., & Pison, L. (2021) · Cardiac Electrophysiology Clinics · doi:10.1016/j.ccep.2021.04.009 · Cited by 5
The catch in atrial fibrillation detection: don't forget to treat
Duncker, D., & Svennberg, E. (2021) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(21)00176-8 · Cited by 4
Prediction of Arrhythmias and Acute Myocardial Infarctions using Machine Learning
Patiño-Pérez, D., Medina, J., Silva, R. D. S., Rodríguez, A. A. G., & Matías, J. L. R. (2023) · Ingenius · doi:10.17163/ings.n29.2023.07 · Cited by 4
Guo, Y., Liu, T., Chen, Y., & Lip, G. Y. H. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.01.021 · Cited by 4
Self-citationWearing Your Heart on Your Wrist
See, V. Y., & Kwong, H. J. (2020) · JACC Case Reports · doi:10.1016/j.jaccas.2019.12.037 · Cited by 4
Ikeda, T., Ashihara, T., Iwasaki, Y., Ono, M., Kagiyama, N., Kimura, T., KUSANO, K. F., Kohno, R., Saku, K., Sasano, T., et al. (2025) · Journal of Arrhythmia · doi:10.1002/joa3.70059 · Cited by 3
Vaishnav, A. G., & Desai, S. (2025) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_156_25 · Cited by 3
Smartphone-Measured Heart Sounds for Atrial Fibrillation Screening in Community Populations
Ren, H., Qin, Q., Dong, Q., Ainiwaer, A., Yuan, H., Zhu, H., Cao, Z. J., Chen, Y., Wesselius, A., Zeegers, M. P., et al. (2025) · Circulation · doi:10.1161/circulationaha.125.073828 · Cited by 3
Self-citationSilicone-Encapsulated Wearable Fiber-Optic Sensor for Respiratory and Heart Rate Measurement
Gao, S., Lin, L., Liu, S., Dai, W., Cai, X., & Fu, H. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3614840 · Cited by 3
Green, S., Haase, C. B., & Spalletta, O. (2025) · Medicine Health Care and Philosophy · doi:10.1007/s11019-025-10308-0 · Cited by 3
Prediction of Cardiovascular Disease Events From the Photoplethysmograph Waveform
Li, Y., Godwin, H., Cecelja, M., O’Gallagher, K., Shah, A. M., Douiri, A., & Chowienczyk, P. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.040237 · Cited by 3
Self-citationKader, F., Bayramoğlu, B., & Tayfur, İ. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e41682 · Cited by 3
Boer, M. R.-D., Wolsink, I., Frenaij, I. M., Beukema, K. F., Brouns, B., van Dijk, V. F., Liebregts, M., WIJFFELS, M. C. E. F., Boersma, L. V. A., & Balt, J. C. (2025) · Netherlands Heart Journal · doi:10.1007/s12471-025-01935-6 · Cited by 3
Atrial fibrillation: focus on monitoring strategies after cryptogenic stroke
BUONO, M. G. D., & SANNA, T. (2022) · Minerva Cardiology and Angiology · doi:10.23736/s2724-5683.21.05851-8 · Cited by 3
Chen, Y., She, D., Guo, Y., Chen, W., Li, J., Li, D., & Xie, L. (2024) · Digital Health · doi:10.1177/20552076241290684 · Cited by 3
Self-citationYuan, H., An, J., Zhang, Q., Zhang, X., Sun, M., Fan, T., Cheng, Y., Wei, M., Tse, G., Waintraub, X., et al. (2020) · Advances in Therapy · doi:10.1007/s12325-020-01469-w · Cited by 3
Self-citationShen, J., Chen, T., Lai, J., Yang, W., Xiu, J., Han, B., Shi, Y., Chen, Y., & Guo, J. (2022) · PubMed Central · doi:10.12122/j.issn.1673-4254.2022.10.18 · Cited by 3
Self-citationСергеевич, К. В., Сергеевич, Б. Д., Харисович, В. В., Кавешников, А. В., Kuzmichkina, M. A., & Анатольевна, Т. И. (2023) · Complex Issues of Cardiovascular Diseases · doi:10.17802/2306-1278-2023-12-3-109-125 · Cited by 3
Eicosapentaenoic Acid: between Cardiovascular Benefits and the Risk of Atrial Fibrillation
Egalini, F., Rossi, M., Massussi, M., Gaggero, G., Beccuti, G., Benso, A. S., Piepoli, M. F., & Broglio, F. (2023) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/0118715303280825231122153024 · Cited by 3
Global voices on atrial fibrillation care in China
Li, M., Chen, M., Guo, Y., & Lip, G. Y. H. (2024) · Heart Rhythm O2 · doi:10.1016/j.hroo.2024.08.004 · Cited by 3
Self-citationTakigawa, M., Goya, M., Yamaguchi, J., Shirai, Y., Martin, C., & Sasano, T. (2020) · EP Europace · doi:10.1093/europace/euaa119 · Cited by 3
Use of Smartphones and Wearables for Arrhythmia Monitoring
Sanders, D. J., Wasserlauf, J., & PASSMAN, R. S. (2021) · Cardiac Electrophysiology Clinics · doi:10.1016/j.ccep.2021.04.004 · Cited by 3
The Evolution of the One-Armed Bandit
Kowey, P. R., & Robinson, V. M. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.09.019 · Cited by 3
Long term effect of vasectomy on pituitary-gonadal axis.
Devi, P. K., Joshi, U. M., Sb, M., Naik, V. K., Ps, S., & Sheth, A. R. (1977) · PubMed · Cited by 3
Atrial Fibrillation Episodes Detected Using Photoplethysmography
Eerikäinen, L. M., Bonomi, A. G., Dekker, L. R. C., & Aarts, R. M. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.10.064 · Cited by 2
Krause, P. (2024) · Springer eBooks · doi:10.1007/978-3-031-72581-4_21 · Cited by 2
Challenges and Opportunities for Atrial Fibrillation Management
Cai, M., & Heijman, J. (2025) · Cardiology Discovery · doi:10.1097/cd9.0000000000000155 · Cited by 1
An atrial fibrillation signals analysis algorithm in line with clinical diagnostic criteria
Li, Y., Chen, M., Qu, X., Han, B., Liu, L., & Wei, S. (2025) · Signal Processing · doi:10.1016/j.sigpro.2025.110068 · Cited by 2
Self-citationHereijgers, M. J. M., van der Velden, R. M. J., Reinders, L. G., Weerts, Z., Kuijpers, S., LUERMANS, J. G. L. M., Chaldoupi, S., Vernooy, K., Hermans, A. N. L., Posthuma, R., et al. (2025) · ERJ Open Research · doi:10.1183/23120541.01192-2024 · Cited by 2
Yu, S., Huang, L.-X., Ma, H., Yan, T.-Y., Qi, M., Chen, D.-Z., Liu, G.-L., Zhu, Z.-Z., Fu, P., & Zeng, X. (2025) · BMC Nephrology · doi:10.1186/s12882-025-04489-2 · Cited by 2
Penkert, H., Härtl, J., Hapfelmeier, A., Egert-Schwender, S., Heimsch, E., Friedenberg, S., Müller, A., Hahn, F., Martens, E., & Wunderlich, S. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1661087 · Cited by 2
What’s the best way to leverage 31 million days of ECG data?
Johnson, L., Diederichsen, S. Z., Svennberg, E., Bhavnani, S. P., McIntyre, W. F., & Healey, J. S. (2025) · npj Cardiovascular Health · doi:10.1038/s44325-025-00097-z · Cited by 2
Jacob, C., Puthanveettil, S.-R., Vavken, P., Kaplan, E., & Zuern, C. S. (2025) · JMIR Human Factors · doi:10.2196/82916 · Cited by 2
Digital heartbeat: wearables for early detection and integrated management of atrial fibrillation
Lowres, N., Orchard, J. J., & Freedman, B. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf998 · Cited by 2
Present state and future of screening for atrial fibrillation: a state-of-the-art review
Svennberg, E., & Khan, M. (2026) · Heart · doi:10.1136/heartjnl-2025-326121 · Cited by 2
Cardiovascular Health Promotion and Disease Prevention in China
Li, X., Lv, J., Pan, A., Lu, Y., Cai, J., Li, J., Lu, J., Lu, X. F., Wang, Z., Zhang, H., et al. (2026) · JACC Asia · doi:10.1016/j.jacasi.2026.03.033 · Cited by 2
Self-citationZuo, S., Wang, J., Wang, X., Feng, H., Zhao, Y., Li, F., Wei, S., Zhou, L., Zhao, Z., Chen, S., et al. (2026) · Advanced Science · doi:10.1002/advs.76627 · Cited by 2
Self-citationBun, S., Taghji, P., & Deharo, J. (2021) · Annales de Cardiologie et d Angéiologie · doi:10.1016/j.ancard.2020.12.005 · Cited by 2
Nuevas estrategias de prevención del ictus tras ablación con catéter de la fibrilación auricular
Ding, W. Y., Calvert, P. A. R., Lip, G. Y. H., & Gupta, D. (2024) · Revista Española de Cardiología · doi:10.1016/j.recesp.2024.02.008 · Cited by 2
Self-citationZhu, W., Xiang, L., Cao, L., Tian, Y., Li, W., & He, L. (2024) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.11162 · Cited by 2
Nie, C., Zhu, C., Xiao, M., Wu, Z., Yang, Q., Lu, Z., Lü, T., Meng, Y., & Wang, S. (2024) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcae101 · Cited by 2
Breen, C. J., & Hendriks, J. (2024) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvae176 · Cited by 2
Sato, H., & Takahashi, N. (2025) · Japanese Journal of Electrocardiology · doi:10.5105/jse.45.15 · Cited by 2
Alpar, S., & Tatlıparmak, A. C. (2025) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2025.05.037 · Cited by 2
Digital health solutions in the screening of subclinical atrial fibrillation
König, S., Bollmann, A., & Hindricks, G. (2021) · Herz · doi:10.1007/s00059-021-05041-2 · Cited by 2
Zhao, Y., Lahdenoja, O., Elnaggar, I., Vasankari, T., Jaakkola, S., Kiviniemi, T., Airaksinen, J. K. E., Kaisti, M., & Koivisto, T. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3574232 · Cited by 2
Leiner, J., König, S., Mouratis, K., Kim, I., Schmitz, P., Joshi, T., Schanner, C., Wohlrab, L., Hohenstein, S., Pellissier, V., et al. (2022) · JMIR Formative Research · doi:10.2196/41115 · Cited by 2
Klinische Differenzialindikation
Lewalter, T., Jilek, C., Israel, C. W., & Brachmann, J. (2020) · Herzschrittmachertherapie + Elektrophysiologie · doi:10.1007/s00399-020-00714-7 · Cited by 2
Cruz, C. M.-D. L., & Vargas-Lombardo, M. (2023) · Acta Informatica Medica · doi:10.5455/aim.2023.31.26-30 · Cited by 2
The potential for photoplethysmographic (PPG)-based smart devices in atrial fibrillation detection
Harrison, S. L., Lane, D. A., Guo, Y., & Lip, G. Y. H. (2020) · Expert Review of Medical Devices · doi:10.1080/17434440.2020.1740085 · Cited by 2
Self-citationLee, J., Kim, T., Park, J., Joung, B., & Choi, E. (2021) · Korean Journal of Medicine · doi:10.3904/kjm.2021.96.2.76 · Cited by 1
Detection and management of subclinical atrial fibrillation in implantable and wearable devices
Berg, J., & Haegeli, L. (2021) · Cardiovascular Medicine · doi:10.4414/cvm.2021.02180 · Cited by 1
Novel stroke prevention strategies following catheter ablation for atrial fibrillation
Ding, W. Y., Calvert, P. A. R., Lip, G. Y. H., & Gupta, D. (2024) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2024.02.008 · Cited by 1
Self-citationLiquid Crystal Mimics Your Heart: A Physical Spoofing Attack Against PPG-Based Systems
Wang, J., Lü, L., Kong, H., Lin, F., Ba, Z., & Ren, K. (2025) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2025.3598472 · Cited by 1
Can Artificial Intelligence Enhance Telemedicine: A New Frontier
Levra, A. G. (2025) · Springer eBooks · doi:10.1007/978-3-031-95256-2_12 · Cited by 1
Multidisciplinary Atrial Fibrillation Clinics: A Model for Comprehensive Management
Abdelnabi, M. H., Ashour, F., Rodriguez, C., Puchongmart, C., Thiravetyan, B., Cruz, D., Ibrahim, R., Pham, H. N., Habib, E., Kanaan, C. N., et al. (2025) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm38739 · Cited by 2
Atrial Fibrillation Screening: Burden or Benefit for Patients and the Healthcare System
Senoo, K. (2025) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.70153 · Cited by 1
Dave, A., Dave, A., & Moussa, I. D. (2026) · Bioengineering · doi:10.3390/bioengineering13020167 · Cited by 1
Emerging trends and underexplored frontiers in stroke nursing care: A bibliometric review
Borromeo, A. S., Manaloto, A. M., Cruz, F. V. D., Laderas, R., Jr., Viray, R. C., Vicedo, R. V., & Wider, W. (2026) · Collegian Journal of the Royal College of Nursing Australia · doi:10.1016/j.colegn.2026.02.001 · Cited by 1
Wang, J., Bai, S., Huang, D., Zhu, K., Zhi, H., & Wang, L. (2026) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x261425749 · Cited by 1
Self-citationHuh, Y., Noh, M., Ji, D., Oh, Y., & Sun, S. (2026) · Sensors · doi:10.3390/s26082316 · Cited by 1
Seliverstov, P. V., Salikova, S. P., Fedorets, V., Kutsenko, V., Shevyakov, A., Samarskiy, I., Levitskiy, N., & Akhmad, K. (2026) · Molekulyarnaya Meditsina (Molecular medicine) · doi:10.29296/24999490-2026-02-12 · Cited by 1
Rashid, A. B., Aslam, E., Ashraf, I., Mubeen, T., Mubeen, A., Zakriya, H., & Amjad, M. (2026) · Future Cardiology · doi:10.1080/14796678.2026.2689050 · Cited by 1
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Davies, M., Bulluck, H., & Tayebjee, M. H. (2026) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2026.08.003 · Cited by 1
Ikeda, T., Ashihara, T., Iwasaki, Y., Ono, M., Kagiyama, N., Kimura, T., KUSANO, K. F., Kohno, R., Saku, K., Sasano, T., et al. (2024) · Japanese Journal of Electrocardiology · doi:10.5105/jse.44.275 · Cited by 1
Boutros, P., Kassem, N., & Barteit, S. (2025) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2025.05.006 · Cited by 1
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Posunko, A., Chavarha, M., Bashkirova, L., Vasylyuk-Zaitseva, S., & Abramchuk, O. (2025) · Futurity Medicine. · doi:10.57125/fem.2025.09.30.01 · Cited by 1
Wang, R., Wang, Q., Xu, R., Guo, W., Huang, H., Liu, B., Aihemaiti, A., Chen, K., Liu, Z., Chen, Y., et al. (2025) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2025.09.008 · Cited by 1
Self-citationS.Alotaibi, A. (2025) · The Review of Diabetic Studies · doi:10.70082/b0pwyz51 · Cited by 1
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Mostaza, J. M., Pintó, X., Armario, P., Guijarro, C., Masana, L., Real, J. T., Arrobas-Velilla, T., Baeza‐Trinidad, R., Calmarza, P., Cebollada, J., et al. (2026) · Clínica e Investigación en Arteriosclerosis · doi:10.1016/j.arteri.2025.500889 · Cited by 1
Armas, R. E. D., & Singh, J. P. (2026) · Current Cardiology Reports · doi:10.1007/s11886-026-02358-4 · Cited by 2
Boskovic, M., Haraldsen, M. B., Berge, T., Grenne, B. L., Skretteberg, P. T., Engdahl, J., Løchen, M., Schuster, P. M., Grimsmo, J., Atar, D., et al. (2026) · EP Europace · doi:10.1093/europace/euag140 · Cited by 1
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Birkemeyer, R., Maisch, L., Dahme, T., Spieß, J., Althaus, K., Schneider, S., Ravens, U., Haase, D., & Schotten, U. (2021) · Herzschrittmachertherapie + Elektrophysiologie · doi:10.1007/s00399-021-00783-2 · Cited by 1
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Creber, R. M., & Turchioe, M. R. (2021) · Cardiac Electrophysiology Clinics · doi:10.1016/j.ccep.2021.05.002 · Cited by 1
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Schreinlechner, M., Rizas, K. D., & Bauer, A. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.1151 · Cited by 1
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Kaya, C. T. (2022) · Journal of Ankara University Faculty of Medicine · doi:10.4274/atfm.galenos.2022.36449 · Cited by 1
Large-scale digital population screening for atrial fibrillation: swinging around the uncertainties
Vardas, P. E. (2023) · Cardiovascular Research · doi:10.1093/cvr/cvad032 · Cited by 1
Metadata
- Authors
- 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. Y. H., Guo, Y., Lip, G. Y. H., Lane, D. A., Chen, Y., Wang, L., Eckstein, J., Thomas, G. N., 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.
- Affiliations
- Chinese People's Liberation Army (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
- Capital Medical University (CN)
- Zhengzhou University (CN)
- General Hospital of Shenyang Military Region (CN)
- Second Hospital of Hebei Medical University (CN)
- Shanxi Dayi Hospital (CN)
- Chinese PLA General Hospital (CN)
- University Hospital of Basel (CH)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Corresponding author
- Chen, Yao
- ORCID
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 74
- Issue
- 19
- Pages
- 2365-2375
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2970354537
- Cited by
- 489
- References
- 31
- Citations by year
- 2026: 49 · 2025: 73 · 2024: 69 · 2023: 67 · 2022: 73 · 2021: 90 · 2020: 60 · 2019: 5
- FWCI
- 20.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion, cc-by-nc-nd)
- Funders
- Pfizer
- National Institute for Health and Care Research (NF-SI-0616-10010)
- University of Birmingham
- National Natural Science Foundation of China (H2501)
- Daiichi-Sankyo
- Health and Family Planning Commission of Heilongjiang Province (2017-036)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- atrial fibrillation, photoplethysmography, mobile health, wearable devices, atrial fibrillation screening, anticoagulation, mobile health apps, positive predictive value, telecare, population-based cohort, China, Northeast China, Holter monitoring, electrocardiogram, anticoagulation adherence
- MeSH terms
- Adult, Aged, Algorithms, Atrial Fibrillation, China, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, Photoplethysmography, Telemedicine, Monitoring, Ambulatory, Young Adult, Mobile Applications
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