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For: McConnell MV, Turakhia MP, Harrington RA, King AC, Ashley EA. Mobile Health Advances in Physical Activity, Fitness, and Atrial Fibrillation: Moving Hearts. J Am Coll Cardiol 2018;71:2691-701. [PMID: 29880130 DOI: 10.1016/j.jacc.2018.04.030] [Cited by in Crossref: 42] [Cited by in F6Publishing: 32] [Article Influence: 14.0] [Reference Citation Analysis]
Number Citing Articles
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2 Lopes MACQ, Oliveira GMM, Ribeiro ALP, Pinto FJ, Rey HCV, Zimerman LI, Rochitte CE, Bacal F, Polanczyk CA, Halperin C, Araújo EC, Mesquita ET, Arruda JA, Rohde LEP, Grinberg M, Moretti M, Caramori PRA, Botelho RV, Brandão AA, Hajjar LA, Santos AF, Colafranceschi AS, Etges APBDS, Marino BCA, Zanotto BS, Nascimento BR, Medeiros CR, Santos DVV, Cook DMA, Antoniolli E, Souza Filho EM, Fernandes F, Gandour F, Fernandez F, Souza GEC, Weigert GS, Castro I, Cade JR, Figueiredo Neto JA, Fernandes JL, Hadlich MS, Oliveira MAP, Alkmim MB, Paixão MCD, Prudente ML, Aguiar Netto MAS, Marcolino MS, Oliveira MA, Simonelli O, Lemos Neto PA, Rosa PRD, Figueira RM, Cury RC, Almeida RC, Lima SRF, Barberato SH, Constancio TI, Rezende WF. Guideline of the Brazilian Society of Cardiology on Telemedicine in Cardiology - 2019. Arq Bras Cardiol 2019;113:1006-56. [PMID: 31800728 DOI: 10.5935/abc.20190205] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 0.5] [Reference Citation Analysis]
3 Kim TB, Ho CB. Validating the moderating role of age in multi-perspective acceptance model of wearable healthcare technology. Telematics and Informatics 2021;61:101603. [DOI: 10.1016/j.tele.2021.101603] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Guo Z, Ding C, Hu X, Rudin C. A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables. Physiol Meas 2021;42. [PMID: 34794126 DOI: 10.1088/1361-6579/ac3b3d] [Reference Citation Analysis]
5 Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/ HRS/ EHRA/ APHRS 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. Ann Noninvasive Electrocardiol 2021;26:e12795. [PMID: 33513268 DOI: 10.1111/anec.12795] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
6 Giebel GD, Gissel C. Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review. JMIR Mhealth Uhealth 2019;7:e13641. [PMID: 31199337 DOI: 10.2196/13641] [Cited by in Crossref: 48] [Cited by in F6Publishing: 32] [Article Influence: 16.0] [Reference Citation Analysis]
7 Rischard J, Waldmann V, Moulin T, Sharifzadehgan A, Lee R, Narayanan K, Garcia R, Marijon E. Assessment of Heart Rhythm Disorders Using the AliveCor Heart Monitor: Beyond the Detection of Atrial Fibrillation. JACC Clin Electrophysiol 2020;6:1313-5. [PMID: 33092760 DOI: 10.1016/j.jacep.2020.05.007] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Baman JR, Mathew DT, Jiang M, Passman RS. Mobile Health for Arrhythmia Diagnosis and Management. J Gen Intern Med 2021. [PMID: 34282532 DOI: 10.1007/s11606-021-07007-w] [Reference Citation Analysis]
9 Al-Kaisey AM, Koshy AN, Ha FJ, Spencer R, Toner L, Sajeev JK, Teh AW, Farouque O, Lim HS. Accuracy of wrist-worn heart rate monitors for rate control assessment in atrial fibrillation. Int J Cardiol 2020;300:161-4. [PMID: 31787389 DOI: 10.1016/j.ijcard.2019.11.120] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 3.3] [Reference Citation Analysis]
10 Martini C, Di Maria B, Reverberi C, Tuttolomondo D, Gaibazzi N. Commercially Available Heart Rate Monitor Repurposed for Automatic Arrhythmia Detection with Snapshot Electrocardiographic Capability: A Pilot Validation. Diagnostics 2022;12:712. [DOI: 10.3390/diagnostics12030712] [Reference Citation Analysis]
11 Zhang H, Zhang J, Li HB, Chen YX, Yang B, Guo YT, Chen YD. Validation of Single Centre Pre-Mobile Atrial Fibrillation Apps for Continuous Monitoring of Atrial Fibrillation in a Real-World Setting: Pilot Cohort Study. J Med Internet Res 2019;21:e14909. [PMID: 31793887 DOI: 10.2196/14909] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
12 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. Digit Health 2021;7:20552076211019620. [PMID: 34104466 DOI: 10.1177/20552076211019620] [Reference Citation Analysis]
13 Varma N, Cygankiewicz I, Turakhia MP, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini JP, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, 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;2:4-54. [DOI: 10.1016/j.cvdhj.2020.11.004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Brewer LC, Fortuna KL, Jones C, Walker R, Hayes SN, Patten CA, Cooper LA. Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health. JMIR Mhealth Uhealth 2020;8:e14512. [PMID: 31934874 DOI: 10.2196/14512] [Cited by in Crossref: 46] [Cited by in F6Publishing: 28] [Article Influence: 23.0] [Reference Citation Analysis]
15 Leclercq C, Witt H, Hindricks G, Katra RP, Albert D, Belliger A, Cowie MR, Deneke T, Friedman P, Haschemi M, Lobban T, Lordereau I, McConnell MV, Rapallini L, Samset E, Turakhia MP, Singh JP, Svennberg E, Wadhwa M, Weidinger F. Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology: Cardiovascular Round Table. Europace 2022:euac052. [PMID: 35640917 DOI: 10.1093/europace/euac052] [Reference Citation Analysis]
16 Khirasaria R, Singh V, Batta A. Exploring digital therapeutics: The next paradigm of modern health-care industry. Perspect Clin Res 2020;11:54-8. [PMID: 32670828 DOI: 10.4103/picr.PICR_89_19] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
17 Habboushe J, Altman C, Lip GYH. Time trends in use of the CHADS2 and CHA2 DS2 VASc scores, and the geographical and specialty uptake of these scores from a popular online clinical decision tool and medical reference. Int J Clin Pract 2019;73:e13280. [PMID: 30281876 DOI: 10.1111/ijcp.13280] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
18 Gardner LA, Jones R, Motts M. Cancellations and Transfers Related to New-Onset Atrial Fibrillation: An Analysis of Survey and Patient Safety Reporting Data From Ambulatory Surgical Facilities. PatientSaf. [DOI: 10.33940/data/2021.12.3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 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 GYH; MAFA II Investigators. Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation. J Am Coll Cardiol 2019;74:2365-75. [PMID: 31487545 DOI: 10.1016/j.jacc.2019.08.019] [Cited by in Crossref: 117] [Cited by in F6Publishing: 88] [Article Influence: 39.0] [Reference Citation Analysis]
20 Kaihara T, Intan-Goey V, Scherrenberg M, Falter M, Frederix I, Dendale P. Impact of activity trackers on secondary prevention in patients with coronary artery disease: a systematic review and meta-analysis. Eur J Prev Cardiol 2021:zwab146. [PMID: 34472613 DOI: 10.1093/eurjpc/zwab146] [Reference Citation Analysis]
21 Lambert CT, Patel D, Bumgarner JM, Kanj M, Cantillon D, Saliba W, Hussein A, Baranowski B, Dresing T, Chung MK, Rickard J, Varma N, Callahan T, Martin D, Tchou P, Bhargava M, Wolski K, Wazni O, Tarakji KG. Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice. Cardiovasc Digit Health J 2021;2:92-100. [PMID: 35265896 DOI: 10.1016/j.cvdhj.2021.02.002] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
22 Ding EY, Marcus GM, McManus DD. Emerging Technologies for Identifying Atrial Fibrillation. Circ Res 2020;127:128-42. [PMID: 32716695 DOI: 10.1161/CIRCRESAHA.119.316342] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 5.5] [Reference Citation Analysis]
23 Saenz LC, Miranda A, Speranza R, Texeira RA, Rojel U, Enriquez A, Figuereido M. Recommendations for the organization of electrophysiology and cardiac pacing services during the COVID-19 pandemic : Latin American Heart Rhythm Society (LAHRS) in collaboration with: Colombian College Of Electrophysiology, Argentinian Society of Cardiac Electrophysiology (SADEC), Brazilian Society Of Cardiac Arrhythmias (SOBRAC), Mexican Society Of Cardiac Electrophysiology (SOMEEC). J Interv Card Electrophysiol 2020;59:307-13. [PMID: 32350745 DOI: 10.1007/s10840-020-00747-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
24 Al-Nawaiseh HK, McIntosh WA, McKyer LJ. An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial. Int J Environ Res Public Health 2022;19:7228. [PMID: 35742477 DOI: 10.3390/ijerph19127228] [Reference Citation Analysis]
25 Eerikäinen LM, Bonomi AG, Dekker LRC, Vullings R, Aarts RM. Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review. Cardiovasc Digit Health J 2020;1:45-51. [PMID: 35265873 DOI: 10.1016/j.cvdhj.2020.03.001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 2.5] [Reference Citation Analysis]
26 Isakadze N, Martin SS. How useful is the smartwatch ECG? Trends Cardiovasc Med 2020;30:442-8. [PMID: 31706789 DOI: 10.1016/j.tcm.2019.10.010] [Cited by in Crossref: 34] [Cited by in F6Publishing: 20] [Article Influence: 11.3] [Reference Citation Analysis]
27 Tamura T. Current progress of photoplethysmography and SPO2 for health monitoring. Biomed Eng Lett 2019;9:21-36. [PMID: 30956878 DOI: 10.1007/s13534-019-00097-w] [Cited by in Crossref: 35] [Cited by in F6Publishing: 20] [Article Influence: 11.7] [Reference Citation Analysis]
28 Kalgotra P, Sharda R, Hammer B, Albert DE. Sensor analytics for interpretation of EKG signals. Expert Systems with Applications 2019;123:377-85. [DOI: 10.1016/j.eswa.2018.12.056] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
29 Wongvibulsin S, Martin SS, Steinhubl SR, Muse ED. Connected Health Technology for Cardiovascular Disease Prevention and Management. Curr Treat Options Cardiovasc Med 2019;21:29. [PMID: 31104157 DOI: 10.1007/s11936-019-0729-0] [Cited by in Crossref: 14] [Cited by in F6Publishing: 8] [Article Influence: 4.7] [Reference Citation Analysis]
30 Goff DC Jr, Khan SS, Lloyd-Jones D, Arnett DK, Carnethon MR, Labarthe DR, Loop MS, Luepker RV, McConnell MV, Mensah GA, Mujahid MS, O'Flaherty ME, Prabhakaran D, Roger V, Rosamond WD, Sidney S, Wei GS, Wright JS. Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40 and Beyond. Circulation 2021;143:837-51. [PMID: 33617315 DOI: 10.1161/CIRCULATIONAHA.120.046501] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
31 Phillips SA, Ali M, Modrich C, Oke S, Elokda A, Laddu D, Bond S. Advances in Health Technology Use and Implementation in the Era of Healthy Living: Implications for Precision Medicine. Prog Cardiovasc Dis 2019;62:44-9. [PMID: 30597149 DOI: 10.1016/j.pcad.2018.12.007] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
32 Muntaner-Mas A, Martinez-Nicolas A, Lavie CJ, Blair SN, Ross R, Arena R, Ortega FB. A Systematic Review of Fitness Apps and Their Potential Clinical and Sports Utility for Objective and Remote Assessment of Cardiorespiratory Fitness. Sports Med 2019;49:587-600. [PMID: 30825094 DOI: 10.1007/s40279-019-01084-y] [Cited by in Crossref: 21] [Cited by in F6Publishing: 12] [Article Influence: 10.5] [Reference Citation Analysis]
33 Xu L, Li J, Zhang X, Pang Y, Yu T, Lian X, Yu T, Zhu L, Tong Q, Li F. Mobile health-based gamification intervention to increase physical activity participation among patients with coronary heart disease: study protocol of a randomised controlled trial. BMJ Open 2022;12:e054623. [PMID: 35105640 DOI: 10.1136/bmjopen-2021-054623] [Reference Citation Analysis]
34 Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS 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. J Arrhythm 2021;37:271-319. [PMID: 33850572 DOI: 10.1002/joa3.12461] [Reference Citation Analysis]
35 Taralunga DD, Florea BC. A Blockchain-Enabled Framework for mHealth Systems. Sensors (Basel) 2021;21:2828. [PMID: 33923842 DOI: 10.3390/s21082828] [Reference Citation Analysis]
36 Lampert R. Screening for atrial fibrillation using smartphone-based technology and layperson volunteers: High-tech meets community participatory research for the best of both worlds. Heart Rhythm 2018;15:1312-3. [DOI: 10.1016/j.hrthm.2018.07.005] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
37 Yao J, Lim N, Tan J, Matthias Müller A, Martinus van Dam R, Chen C, Tan CS, Müller-Riemenschneider F. Evaluation of a Population-Wide Mobile Health Physical Activity Program in 696 907 Adults in Singapore. J Am Heart Assoc 2022;11:e022508. [PMID: 35699174 DOI: 10.1161/JAHA.121.022508] [Reference Citation Analysis]
38 Marsili IA, Biasiolli L, Masè M, Adami A, Andrighetti AO, Ravelli F, Nollo G. Implementation and validation of real-time algorithms for atrial fibrillation detection on a wearable ECG device. Computers in Biology and Medicine 2020;116:103540. [DOI: 10.1016/j.compbiomed.2019.103540] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
39 Ilan Y. Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes. Front Digit Health 2020;2:569178. [DOI: 10.3389/fdgth.2020.569178] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
40 Hershman SG, Bot BM, Shcherbina A, Doerr M, Moayedi Y, Pavlovic A, Waggott D, Cho MK, Rosenberger ME, Haskell WL, Myers J, Champagne MA, Mignot E, Salvi D, Landray M, Tarassenko L, Harrington RA, Yeung AC, McConnell MV, Ashley EA. Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Sci Data 2019;6:24. [PMID: 30975992 DOI: 10.1038/s41597-019-0016-7] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 5.3] [Reference Citation Analysis]
41 Xiong Z, Stiles MK, Gillis AM, Zhao J. Enhancing the detection of atrial fibrillation from wearable sensors with neural style transfer and convolutional recurrent networks. Computers in Biology and Medicine 2022;146:105551. [DOI: 10.1016/j.compbiomed.2022.105551] [Reference Citation Analysis]
42 Turakhia M, Sundaram V, Smith SN, Ding V, Michael Ho P, Kowey PR, Piccini JP, Foody J, Birmingham MC, Ianus J, Rajmane A, Mahaffey KW; smartADHERE Investigators. Efficacy of a centralized, blended electronic, and human intervention to improve direct oral anticoagulant adherence: Smartphones to improve rivaroxaban ADHEREnce in atrial fibrillation (SmartADHERE) a randomized clinical trial. Am Heart J 2021;237:68-78. [PMID: 33676886 DOI: 10.1016/j.ahj.2021.02.023] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
43 Kong T, Scott MM, Li Y, Wichelman C. Physician attitudes towards-and adoption of-mobile health. Digit Health 2020;6:2055207620907187. [PMID: 32128235 DOI: 10.1177/2055207620907187] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
44 Varma N, Cygankiewicz I, Turakhia MP, Heidbuchel H, Hu YF, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini JP, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, 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. Circ Arrhythm Electrophysiol 2021;14:e009204. [PMID: 33573393 DOI: 10.1161/CIRCEP.120.009204] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
45 Van den Eynde J, Kutty S, Danford DA, Manlhiot C. Artificial intelligence in pediatric cardiology: taking baby steps in the big world of data. Curr Opin Cardiol 2022;37:130-6. [PMID: 34857721 DOI: 10.1097/HCO.0000000000000927] [Reference Citation Analysis]
46 Guo Y, Lane DA, Wang L, Zhang H, Wang H, Zhang W, Wen J, Xing Y, Wu F, Xia Y, Liu T, Wu F, Liang Z, Liu F, Zhao Y, Li R, Li X, Zhang L, Guo J, Burnside G, Chen Y, Lip GYH; mAF-App II Trial Investigators. Mobile Health Technology to Improve Care for Patients With Atrial Fibrillation. J Am Coll Cardiol 2020;75:1523-34. [PMID: 32241367 DOI: 10.1016/j.jacc.2020.01.052] [Cited by in Crossref: 78] [Cited by in F6Publishing: 61] [Article Influence: 39.0] [Reference Citation Analysis]
47 Wang H, Liang L, Du C, Wu Y. Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study. JMIR Mhealth Uhealth 2021;9:e25960. [PMID: 33444155 DOI: 10.2196/25960] [Cited by in F6Publishing: 2] [Reference Citation Analysis]