Novel Wireless Devices for Cardiac Monitoring

Walsh, Joseph A.; Topol, Eric J.; Steinhubl, Steven R.

doi:10.1161/circulationaha.114.009024

Cited by 175Wireless Body Area NetworksNon-Invasive Vital Sign MonitoringECG Monitoring and Analysis

Novel Wireless Devices for Cardiac Monitoring

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Walsh, Joseph A., Topol, Eric J., Steinhubl, Steven R.·2014·Circulation

DOI 10.1161/circulationaha.114.009024PMC PMC4135373

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Additional advances are needed to meet the challenging requirements of the NICU, where comprehensive, continuous sensing with wireless functionality, clinical-grade measurement fidelity, and mechanical form factors that eliminate risk of harm to exceptionally fragile neonatal skin are essential.
“Although such systems can support various types of biophysical measurements of physiological health (8–13), additional advances are needed to meet the challenging requirements of the NICU, where comprehensive, continuous sensing with wireless functionality, clinical-grade measurement fidelity, and mechanical form factors that eliminate risk of harm to exceptionally fragile neonatal skin are essent”
From Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care (2019) · cites this paper as [11]
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Hunt, S. A., Abraham, W. T., Chin, M. H., Feldman, A. M., Francis, G. S., Ganiats, T. G., Jessup, M. L., Konstam, M. A., MANCINI, D. M., Michl, K., et al. (2009) · Circulation · doi:10.1161/circulationaha.109.192065 · Cited by 3,712 · see citing works
Heart Disease and Stroke Statistics—2009 Update: A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., Ford, E., Furie, K., Go, A., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191261 · Cited by 3,140 · see citing works
Characteristics and outcomes of patients hospitalized for heart failure in the United States: Rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE)
Adams, K. F., Fonarow, G. C., Emerman, C. L., LeJemtel, T. H., Costanzo, M. R., Abraham, W. T., Berkowitz, R. L., Galvao, M., & Horton, D. P. (2005) · American Heart Journal · doi:10.1016/j.ahj.2004.08.005 · Cited by 2,111 · see citing works
Exercise-based cardiac rehabilitation for coronary heart disease
Heran, B. S., Chen, J. M., Ebrahim, S., Moxham, T., Oldridge, N., Rees, K., Thompson, D. R., & Taylor, R. S. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001800.pub2 · Cited by 1,844 · see citing works
AHA/ACCF Secondary Prevention and Risk Reduction Therapy for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2011 Update: A Guideline From the American Heart Association and American College of Cardiology Foundation
Smith, S. C., Benjamin, E. J., Bonow, R. O., Braun, L. T., Creager, M. A., Franklin, B. A., Gibbons, R. J., Grundy, S. M., Hiratzka, L. F., Jones, D. W., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318235eb4d · Cited by 1,759 · see citing works
Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial
Abraham, W. T., Adamson, P. B., Bourge, R. C., Aaron, M. F., Costanzo, M. R., Stevenson, L. W., Strickland, W., Neelagaru, S., Raval, N., Krueger, S., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60101-3 · Cited by 1,744 · see citing works
Time Delay to Treatment and Mortality in Primary Angioplasty for Acute Myocardial Infarction
Luca, G. D., Suryapranata, H., Ottervanger, J. P., & Antman, E. M. (2004) · Circulation · doi:10.1161/01.cir.0000121424.76486.20 · Cited by 1,541 · see citing works
Use of Cardiac Rehabilitation by Medicare Beneficiaries After Myocardial Infarction or Coronary Bypass Surgery
Suaya, J. A., Shepard, D. S., Normand, S. T., Ades, P. A., Prottas, J. M., & Stason, W. B. (2007) · Circulation · doi:10.1161/circulationaha.107.701466 · Cited by 827 · see citing works
Transition From Chronic Compensated to Acute Decompensated Heart Failure
Zile, M. R., Bennett, T., Sutton, M. S. J., Cho, Y. K., Adamson, P. B., Aaron, M. F., Aranda, J. M., Abraham, W. T., Smart, F. W., Stevenson, L. W., et al. (2008) · Circulation · doi:10.1161/circulationaha.108.783910 · Cited by 566 · see citing works
Comparison of 24-hour holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring
Barrett, P. M., Komatireddy, R., Haaser, S., Topol, S., Sheard, J., Encinas, J., Fought, A. J., & Topol, E. J. (2014) · The American Journal of Medicine · doi:10.1016/j.amjmed.2013.10.003 · Cited by 498 · see citing works
Self-citation
Clinical, radiographic, and hemodynamic correlations in chronic congestive heart failure: conflicting results may lead to inappropriate care.
Chakko, S., Woska, D., Martinez, H., de Marchena, E., Futterman, L., Kessler, K., & Myerburg, R. (1991) · American Journal of Medicine · doi:10.1016/0002-9343(91)80016-f · Cited by 398 · see citing works
Ongoing right ventricular hemodynamics in heart failure
Adamson, P. B., Magalski, A., Braunschweig, F., Böhm, M., REYNOLDS, D. W., Steinhaus, D. M., Luby, A., Linde, C. M., Rydén, L., Cremers, B., et al. (2003) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)02896-6 · Cited by 349 · see citing works
iPhone ECG application for community screening to detect silent atrial fibrillation: A novel technology to prevent stroke
Lau, J. K., Lowres, N., Neubeck, L., Brieger, D. B., Sy, R. W., Galloway, C. D., Albert, D. E., & Freedman, S. B. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.01.220 · Cited by 326 · see citing works
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Zimetbaum, P., & Goldman, A. (2010) · Circulation · doi:10.1161/circulationaha.109.925610 · Cited by 209 · see citing works
Clinical, radiographic, and hemodynamic correlations in chronic congestive heart failure: Conflicting results may lead to inappropriate care
Chakko, S. C., Woska, D., Martinez, H., et al. (1991) · The American Journal of Medicine · doi:10.1016/0002-9343(91)90576-j · Cited by 206 · see citing works
Using Mobile Technology for Cardiac Rehabilitation: A Review and Framework for Development and Evaluation
Beatty, A. L., Fukuoka, Y., & Whooley, M. A. (2013) · Journal of the American Heart Association · doi:10.1161/jaha.113.000568 · Cited by 200 · see citing works
Diagnostic Accuracy of a Hand-Held Ultrasound Scanner in Routine Patients Referred for Echocardiography
Prinz, C., & Voigt, J. (2010) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2010.10.017 · Cited by 200 · see citing works
Is Pocket Mobile Echocardiography the Next-Generation Stethoscope? A Cross-sectional Comparison of Rapidly Acquired Images With Standard Transthoracic Echocardiography
Liebo, M., Israel, R. L., Lillie, E. O., Smith, M. R., Rubenson, D. S., & Topol, E. J. (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-155-1-201107050-00005 · Cited by 158 · see citing works
Self-citation
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Meischke, H. W., Ho, M. T., Eisenberg, M. S., Schaeffer, S. M., & Larsen, M. P. (1995) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(95)70323-3 · Cited by 153 · see citing works
Evolving Trends in the Use of Echocardiography
Pearlman, A. S., Ryan, T., Picard, M. H., & Douglas, P. S. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.02.048 · Cited by 151 · see citing works
Comparison of autotriggered memory loop recorders versus standard loop recorders versus 24-hour Holter monitors for arrhythmia detection
Reiffel, J. A., Schwarzberg, R., & Murry, M. (2005) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2005.01.025 · Cited by 131 · see citing works
Usefulness of a New Miniaturized Echocardiographic System in Outpatient Cardiology Consultations as an Extension of Physical Examination
Cardim, N. M., Golfín, C. F., Ferreira, D., Aubele, A., Toste, J., Cobos, M. Á., Carmelo, V., Nunes, I., Oliveira, A. G., & Zamorano, J. L. (2010) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2010.09.017 · Cited by 127 · see citing works
Elevated breath pentane in heart failure reduced by free radical scavenger
Sobotka, P. A., Brottman, M. D., Weitz, Z., Birnbaum, A. J., Skosey, J. L., & Zarling, E. J. (1993) · Free Radical Biology and Medicine · doi:10.1016/0891-5849(93)90145-k · Cited by 112 · see citing works
Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients
Ahlstrom, C., Johansson, A., Uhlin, F., Länne, T., & Ask, P. (2005) · Journal of Artificial Organs · doi:10.1007/s10047-005-0301-4 · Cited by 104 · see citing works
Characterization of Circulating Endothelial Cells in Acute Myocardial Infarction
Damani, S. B., Bacconi, A., Libiger, O., Chourasia, A. H., Serry, R. D., Gollapudi, R. R., Goldberg, R., Rapeport, K. B., Haaser, S. M., Topol, S. E., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003451 · Cited by 104 · see citing works
Self-citation
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Marcondes‐Braga, F. G., Gutz, I. G. R., Batista, G. L., Saldiva, P. H. N., Ayub‐Ferreira, S. M., Issa, V. S., Mangini, S., Bocchi, E. A., & Bacal, F. (2012) · CHEST Journal · doi:10.1378/chest.11-2892 · Cited by 100 · see citing works
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Testuz, A., Muller, H., Keller, P., Meyer, P., Stampfli, T., Šekoranja, L., Vuille, C., & Burri, H. (2012) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jes085 · Cited by 83 · see citing works
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Anand, I. S., Tang, W. H. W., Greenberg, B., Chakravarthy, N., Libbus, I., & Katra, R. P. (2012) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2012.01.009 · Cited by 72 · see citing works
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Kitada, R., Fukuda, S., Watanabe, H., Oe, H., Abe, Y., Yoshiyama, M., Song, J., Sitges, M., Shiota, T., Ito, H., et al. (2013) · Clinical Cardiology · doi:10.1002/clc.22171 · Cited by 58 · see citing works
Study of arrhythmia prevalence in NUVANT Mobile Cardiac Telemetry system patients
Engel, J. M., Mehta, V., Fogoros, R. N., & Chavan, A. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346457 · Cited by 44 · see citing works
Initial Clinical Results Using Intracardiac Electrogram Monitoring to Detect and Alert Patients During Coronary Plaque Rupture and Ischemia
Fischell, T. A., Fischell, D. R., Avezum, Á., John, M. S., Holmes, D. R., Foster, M. T., Kovach, R. C., Medeiros, P., Piegas, L. S., Guimarães, H. P., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.04.053 · Cited by 42 · see citing works
Design of the Multi-Sensor Monitoring in Congestive Heart Failure (MUSIC) Study: Prospective Trial to Assess the Utility of Continuous Wireless Physiologic Monitoring in Heart Failure
Anand, I. S., Greenberg, B., Fogoros, R. N., Libbus, I., & Katra, R. P. (2010) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2010.08.001 · Cited by 33 · see citing works
Pulse transit time: validation of blood pressure measurement under positive airway pressure ventilation
Schmalgemeier, H., Bitter, T., Bartsch, S., Bullert, K., Fischbach, T. J., Eckert, S., Horstkotte, D., & Oldenburg, O. (2011) · Sleep And Breathing · doi:10.1007/s11325-011-0609-7 · Cited by 28 · see citing works
Increased Exhaled Nitric Oxide Levels After Exercise in Patients With Chronic Systolic Heart Failure With Pulmonary Venous Hypertension
Schuster, A., Thakur, A., Wang, Z., Borowski, A. G., Thomas, J. D., & Tang, W. H. W. (2012) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2012.08.356 · Cited by 20 · see citing works
Effects of Home-based Exercise Training with Wireless Monitoring on the Left Ventricular Function of Acute Coronary Syndrome Patients
Lee, Y., Lee, J. H., Seo, H.-K., Kim, K., Min, D., Lee, J. H., & Choi, J. (2013) · Journal of Physical Therapy Science · doi:10.1589/jpts.25.631 · Cited by 13 · see citing works
The Importance of Atrial Fibrillation Burden and the Origin of Device‐Tailored Anticoagulation
ZIMETBAUM, P. J., Ellis, E. R., Waks, J. W., & PASSMAN, R. S. (2013) · Pacing and Clinical Electrophysiology · doi:10.1111/pace.12275 · Cited by 7 · see citing works
Present and potential future paradigms for the treatment of ST-segment elevation acute myocardial infarction.
Chew, D. P., Moliterno, D. J., & Herrmann, H. C. (2002) · PubMed · Cited by 6 · see citing works

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Nguyen, H. H., & Silva, J. N. A. (2015) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2015.11.002 · Cited by 79 · see citing works
ECG by mobile technologies
Guzik, P., & Malík, M. (2016) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2016.07.030 · Cited by 77 · see citing works
Wireless and battery-free platforms for collection of biosignals
Stuart, T., Cai, L., Burton, A., & Gutruf, P. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113007 · Cited by 76 · see citing works
Strain‐Isolating Materials and Interfacial Physics for Soft Wearable Bioelectronics and Wireless, Motion Artifact‐Controlled Health Monitoring
Rodeheaver, N., Herbert, R., Kim, Y., Mahmood, M., Kim, H., Jeong, J., & Yeo, W. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202104070 · Cited by 76 · see citing works
Eco-friendly in-situ gap generation of no-spacer triboelectric nanogenerator for monitoring cardiovascular activities
Zhao, D., Zhuo, J., Chen, Z., Wu, J., Ma, R., Zhang, X., Zhang, Y., Wang, X., Wei, X., Liu, L., et al. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.106580 · Cited by 76 · see citing works
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
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbuchel, H., Hu, Y.-F., Chen, L. Y., Couderc, J.-P., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.120.009204 · Cited by 74 · see citing works
A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography
Birrenkott, D. A., Pimentel, M. A. F., Watkinson, P. J., & Clifton, D. A. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2778265 · Cited by 71 · see citing works
Moving From Digitalization to Digitization in Cardiovascular Care
Steinhubl, S. R., & Topol, E. J. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.08.006 · Cited by 69 · see citing works
Self-citation
Skin‐Integrated Devices with Soft, Holey Architectures for Wireless Physiological Monitoring, With Applications in the Neonatal Intensive Care Unit
Kwak, S. S., Yoo, S., Avila, R. O., Chung, H. U., Jeong, H., Liu, C. Y., Vogl, J. L., Kim, J., Yoon, H., Park, Y., et al. (2021) · Advanced Materials · doi:10.1002/adma.202103974 · Cited by 70 · see citing works
Smart medical device selection based on intuitionistic fuzzy Choquet integral
Büyüközkan, G., & Göçer, F. (2018) · Soft Computing · doi:10.1007/s00500-018-3563-5 · Cited by 67 · see citing works
Digital healthcare: Historical development, applications, and future research directions
Sharma, R., & Kshetri, N. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102105 · Cited by 67 · see citing works
A digital health industry cohort across the health continuum
Cohen, A. B., Dorsey, E. R., Mathews, S. C., Bates, D. W., & Safavi, K. C. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0276-9 · Cited by 64 · see citing works
Feasibility of Using Wideband Microwave System for Non-Invasive Detection and Monitoring of Pulmonary Oedema
Rezaeieh, S. A., Zamani, A., Bialkowski, K. S., Mahmoud, A. A. O., & Abbosh, A. M. (2015) · Scientific Reports · doi:10.1038/srep14047 · Cited by 61 · see citing works
Single Drop Whole Blood Diagnostics: Portable Biomedical Sensor for Cardiac Troponin I Detection
Sarangadharan, I., Wang, S.-L., Sukesan, R., Chen, P., Dai, T.-Y., Pulikkathodi, A. K., Hsu, C.-P., Chiang, H.-H. K., Liu, L. Y., & Wang, Y. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b05018 · Cited by 60 · see citing works
Comparison of diagnostic value using a small, single channel, P-wave centric sternal ECG monitoring patch with a standard 3-lead Holter system over 24 hours
Smith, W., Riddell, F., Madon, M., & Gleva, M. J. (2016) · American Heart Journal · doi:10.1016/j.ahj.2016.11.006 · Cited by 59 · see citing works
A sneak peek into digital innovations and wearable sensors for cardiac monitoring
Michard, F. (2016) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-016-9925-6 · Cited by 56 · see citing works
The genetics of congenital central hypoventilation syndrome: clinical implications
Bishara, J., Keens, T. G., & Perez, I. A. (2018) · The Application of Clinical Genetics · doi:10.2147/tacg.s140629 · Cited by 52 · see citing works
Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives
Xintarakou, A., Sousonis, V., Asvestas, D., Vardas, P. E., & Tzeis, S. E. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.853614 · Cited by 52 · see citing works
2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbüchel, H., Hu, Y., Chen, L. Y., Couderc, J., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Annals of Noninvasive Electrocardiology · doi:10.1111/anec.12795 · Cited by 50 · see citing works
Congenital central hypoventilation syndrome: diagnosis and management
Maloney, M. A., Kun, S. S., Keens, T. G., & Perez, I. A. (2018) · Expert Review of Respiratory Medicine · doi:10.1080/17476348.2018.1445970 · Cited by 49 · see citing works
Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography
Iftikhar, Z., Lahdenoja, O., Tadi, M. J., Hurnanen, T., Vasankari, T., Kiviniemi, T., Airaksinen, J. K. E., Koivisto, T., & Pänkäälä, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-27683-9 · Cited by 48 · see citing works
Evaluation of a Smartphone Electrocardiograph in Healthy Horses: Comparison With Standard Base-apex Electrocardiography
Vezzosi, T., Sgorbini, M., Bonelli, F., Buralli, C., Pillotti, M., Meucci, V., & Tognetti, R. (2018) · Journal of Equine Veterinary Science · doi:10.1016/j.jevs.2018.03.006 · Cited by 44 · see citing works
First-In-Human Experience With Integration of Wireless Intracranial Pressure Monitoring Device Within a Customized Cranial Implant
Mitchell, K.-A. S., Anderson, W. S., Shay, T., Huang, J., Luciano, M. G., Suárez, J. I., Manson, P. N., Brem, H., & Gordon, C. R. (2020) · Operative Neurosurgery · doi:10.1093/ons/opz431 · Cited by 44 · see citing works
Atrial Fibrillation Detection
Thijs, V. (2017) · Stroke · doi:10.1161/strokeaha.117.017083 · Cited by 43 · see citing works
Diagnostic accuracy of a smartphone electrocardiograph in dogs: Comparison with standard 6-lead electrocardiography
Vezzosi, T., Buralli, C., Marchesotti, F., Porporato, F., Tognetti, R., Zini, E., & Domenech, O. (2016) · The Veterinary Journal · doi:10.1016/j.tvjl.2016.06.013 · Cited by 42 · see citing works
Comparison of Holter With Zio Patch Electrocardiography Monitoring in Children
Bolourchi, M., Silver, E. S., Muwanga, D., Mendez, E., & Liberman, L. (2019) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2019.11.028 · Cited by 41 · see citing works
ECG-derived spatial QRS-T angle is associated with ICD implantation, mortality and heart failure admissions in patients with LV systolic dysfunction
Gleeson, S., Liao, Y.-W., Dugo, C., Cave, A., Zhou, L., Ayar, Z., Christiansen, J., Scott, T., Dawson, L., Gavin, A., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171069 · Cited by 40 · see citing works
Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms
Tadi, M. J., Mehrang, S., Kaisti, M., Lahdenoja, O., Hurnanen, T., Jaakkola, J., Jaakkola, S., Vasankari, T., Kiviniemi, T., Airaksinen, J. K. E., et al. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2882874 · Cited by 38 · see citing works
2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbüchel, H., Hu, Y., Chen, L. Y., Couderc, J., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Journal of Arrhythmia · doi:10.1002/joa3.12461 · Cited by 37 · see citing works
Health Informatics via Machine Learning for the Clinical Management of Patients
Niehaus, K. E., Charlton, P. H., Colopy, G. W., & Clifton, D. A. (2015) · Yearbook of Medical Informatics · doi:10.15265/iy-2015-014 · Cited by 39 · see citing works
Are heart rate monitors valuable tools for diagnosing arrhythmias in endurance athletes?
Gajda, R., Biernacka, E. K., & Drygas, W. (2017) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.12917 · Cited by 37 · see citing works
Anthracycline induced cardiotoxicity: biomarkers and “Omics” technology in the era of patient specific care
Moazeni, S., Cadeiras, M., Yang, E. H., Deng, M. C.-H. K., & Nguyen, K. (2017) · Clinical and Translational Medicine · doi:10.1186/s40169-017-0148-3 · Cited by 36 · see citing works
Cardio-Oncology rehabilitation- challenges and opportunities to improve cardiovascular outcomes in cancer patients and survivors
Sase, K., Kida, K., & Furukawa, Y. (2020) · Journal of Cardiology · doi:10.1016/j.jjcc.2020.07.014 · Cited by 36 · see citing works
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification
Darmawahyuni, A., Nurmaini, S., Rachmatullah, M. N., Tutuko, B., Sapitri, A. I., Firdaus, F., Fansyuri, A., & Predyansyah, A. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.825 · Cited by 34 · see citing works
An Algorithm for Heart Rate Extraction From Acoustic Recordings at the Neck
Sharma, P., Imtiaz, S. A., & Rodriguez–Villegas, E. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2836187 · Cited by 34 · see citing works
Comparison of Continuous ECG Monitoring by Wearable Patch Device and Conventional Telemonitoring Device
Choi, W., Kim, S., Lee, W., Kang, S., Yoon, C., Youn, T., & Chae, I. (2020) · Journal of Korean Medical Science · doi:10.3346/jkms.2020.35.e363 · Cited by 30 · see citing works
Establishing reference ranges for ambulatory electrocardiography parameters: meta-analysis
Williams, C., Andrade, J. G., Hawkins, N. M., Cheung, C. C., Krahn, A. D., Laksman, Z., Bennett, M. T., Heilbron, B. G., Chakrabarti, S., Yeung‐Lai‐Wah, J. A., et al. (2020) · Heart · doi:10.1136/heartjnl-2020-316925 · Cited by 29 · see citing works
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment
Mason, F., Pandey, A., Gadaleta, M., Topol, E. J., Muse, E. D., & Quer, G. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01193-7 · Cited by 18 · see citing works
Self-citation
A Novel Point-of-Care Smartphone Based System for Monitoring the Cardiac and Respiratory Systems
Sohn, K., Merchant, F. M., Sayadi, O., Puppala, D., Doddamani, R., Sahani, A. K., Singh, J. P., Heist, E. K., Isselbacher, E. M., & Armoundas, A. A. (2017) · Scientific Reports · doi:10.1038/srep44946 · Cited by 28 · see citing works
Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal
Karmakar, C. K., Udhayakumar, R. K., Li, P., Venkatesh, S., & Palaniswami, M. S. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00720 · Cited by 28 · see citing works
Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study
Archangelidi, O., Pujades‐Rodríguez, M., Timmis, A., Jouven, X., Denaxas, S., & Hemingway, H. (2018) · European Journal of Preventive Cardiology · doi:10.1177/2047487318785228 · Cited by 27 · see citing works
Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors
Yano, Y., Greenland, P., Lloyd‐Jones, D. M., Daoud, E. G., Koehler, J. L., & Ziegler, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148914 · Cited by 25 · see citing works
Detecting heart failure using wearables: a pilot study
Shah, A. J., Isakadze, N., Levantsevych, O. M., Vest, A. N., Clifford, G. D., & Nemati, S. (2020) · Physiological Measurement · doi:10.1088/1361-6579/ab7f93 · Cited by 25 · see citing works
Breathable, Wireless, Thin-Film Wearable Biopatch Using Noise-Reduction Mechanisms
Rodeheaver, N., Kim, H., Herbert, R., Seo, H., & Yeo, W. (2022) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.1c01107 · Cited by 25 · see citing works
The Future of Arrhythmias and Electrophysiology
Albert, C. M., & Stevenson, W. G. (2016) · Circulation · doi:10.1161/circulationaha.116.023519 · Cited by 25 · see citing works
The Digital Outcome Measure
Cohen, A. B., & Mathews, S. C. (2018) · Digital Biomarkers · doi:10.1159/000492396 · Cited by 24 · see citing works
Flexible and wearable energy technologies: A lithium-ion battery perspective
YARAR, G., AKYÜZ, E. S., Aydın, Ö., Telli, E., & Farsak, M. (2025) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2025.180103 · Cited by 25 · see citing works
Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study
Heuverswyn, F. V., Buyzere, M. D., Coeman, M., Pooter, J. D., Drieghe, B., Duytschaever, M. F., Gevaert, S., Kayaert, P., Vandekerckhove, Y. R., Voet, J., et al. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30026-3 · Cited by 23 · see citing works
From wearables to THINKables: artificial intelligence-enabled sensors for health monitoring
Mirmomeni, M., Fazio, T., von Cavallar, S., & Harrer, S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819246-7.00012-7 · Cited by 23 · see citing works
An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection
Ali, H., Naing, H. H., & Yaqub, R. (2021) · Electronics · doi:10.3390/electronics10161871 · Cited by 22 · see citing works
The Digital Neurologic Examination
Cohen, A. B., & Nahed, B. V. (2021) · Digital Biomarkers · doi:10.1159/000515577 · Cited by 21 · see citing works
Perspective: Advancing Understanding of Population Nutrient–Health Relations via Metabolomics and Precision Phenotypes
Andraos, S., Wake, M. A., Saffery, R., Burgner, D. P., Kussmann, M., & O'Sullivan, J. M. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz045 · Cited by 20 · see citing works
A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System
Nguyen, T.-H., Nguyen, T.-N., & Nguyen, T.-T. (2019) · Intelligent systems reference library · doi:10.1007/978-3-030-23983-1_9 · Cited by 19 · see citing works
IoT: Electrocardiogram (ECG) Monitoring System
Ortiz, K. J. P., Davalos, J. P. O., Eusebio, E. S., & Tucay, D. M. (2018) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v10.i2.pp480-489 · Cited by 19 · see citing works
Evaluation of a new portable 1-lead digital cardiac monitor (eKuore) compared with standard base-apex electrocardiography in healthy horses
Vitale, V., Vezzosi, T., Tognetti, R., Fraschetti, C., & Sgorbini, M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255247 · Cited by 18 · see citing works
Evaluation of a new smartphone-based digital stethoscope featuring phonocardiography and electrocardiography in dogs and cats
Vezzosi, T., Alibrandi, L., Grosso, G., & Tognetti, R. (2023) · The Veterinary Journal · doi:10.1016/j.tvjl.2023.105987 · Cited by 18 · see citing works
Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care
Laad, M. S., Kotecha, K. V., Patil, K. R., & Pise, R. N. (2022) · Applied Artificial Intelligence · doi:10.1080/08839514.2022.2031816 · Cited by 16 · see citing works
Using big data for non-communicable disease surveillance
Balicer, R. D., Luengo-Oroz, M. A., Cohen-Stavi, C. J., Loyola, E., Mantingh, F., Romanoff, L., & Galea, G. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30372-8 · Cited by 17 · see citing works
A Real-Time Vital-Sign Monitoring in the Physical Domain on a Mixed-Signal Reconfigurable Platform
Shah, S. S., Töreyin, H., Güngör, C. B., & Hasler, J. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2949778 · Cited by 18 · see citing works
The Role of Contemporary Wearable and Handheld Devices in the Diagnosis and Management of Cardiac Arrhythmias
Garikapati, K., Turnbull, S., Bennett, R. G., Campbell, T. G., Kanawati, J., Wong, M. S., Thomas, S. P., Chow, C. K., & Kumar, S. (2022) · Heart Lung and Circulation · doi:10.1016/j.hlc.2022.08.001 · Cited by 17 · see citing works
mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening
Kumar, D., Maharjan, R., Maxhuni, A., Domínguez, H., Frølich, A., & Bardram, J. E. (2022) · ACM Transactions on Computing for Healthcare · doi:10.1145/3494581 · Cited by 16 · see citing works
2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbuchel, H., Hu, Y., Chen, L. Y., Couderc, J.-P., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2020.11.004 · Cited by 16 · see citing works
Wireless body sensor for electrocardiographic monitoring in dogs and cats
Brložnik, M., Likar, S., Krvavica, A., Avbelj, V., & Petrič, A. D. (2018) · Journal of Small Animal Practice · doi:10.1111/jsap.12963 · Cited by 15 · see citing works
Smart Medical Device Selection Based on Interval Valued Intuitionistic Fuzzy VIKOR
Büyüközkan, G., & Göçer, F. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-66830-7_28 · Cited by 15 · see citing works
Estimating Heart Rate and Respiratory Rate from a Single Lead Electrocardiogram Using Ensemble Empirical Mode Decomposition and Spectral Data Fusion
Chung, I.-Q., Yu, J.-T., & Hu, W.-C. (2021) · Sensors · doi:10.3390/s21041184 · Cited by 14 · see citing works
Validation of a new wearable device for type 3 sleep test without flowmeter
Contini, M. C., Sarmento, A., Gugliandolo, P., Leonardi, A. D. C., Longinotti-Buitoni, G., Minella, C., Vignati, C., Mapelli, M., Aliverti, A., & Agostoni, P. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249470 · Cited by 14 · see citing works
2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbüchel, H., Hu, Y., Chen, L. Y., Couderc, J., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab001 · Cited by 16 · see citing works
Digital health technology to support care and improve outcomes of chronic kidney disease patients: as a case illustration, the Withings toolkit health sensing tools
Canaud, B., Kooman, J. P., Davenport, A., Campo, D., Carreel, E., Morena-Carrere, M., & Cristol, J. (2023) · Frontiers in Nephrology · doi:10.3389/fneph.2023.1148565 · Cited by 13 · see citing works
Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy
Pah, A. R., Rasmussen‐Torvik, L. J., Goel, S., Greenland, P., & Kho, A. (2014) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-014-0424-3 · Cited by 13 · see citing works
Health care in a technological world
Meetoo, D. D., Rylance, R., & Abuhaimid, H. A. (2018) · British Journal of Nursing · doi:10.12968/bjon.2018.27.20.1172 · Cited by 13 · see citing works

Authors: Walsh, J. A., Topol, E. J., & Steinhubl, S. R.
Affiliations: Scripps Green Hospital (US)
ORCID: Topol, Eric J.
Steinhubl, Steven R.
Venue: Circulation
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2014-08-12
Volume: 130
Issue: 7
Pages: 573-581
ISSN: 0009-7322 (ISSN-L)
1524-4539
DOI: 10.1161/circulationaha.114.009024
PMC: PMC4135373
OpenAlex: W1972902097
Cited by: 175
References: 40
Citations by year: 2026: 2 · 2025: 6 · 2024: 3 · 2023: 9 · 2022: 19 · 2021: 23 · 2020: 18 · 2019: 15 · 2018: 23 · 2017: 30 · 2016: 17 · 2015: 8 · 2014: 2
FWCI: 9.87
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Circulation (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (UL1TR001114)
National Center for Advancing Translational Sciences
Topics: Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
Keywords: wireless devices, cardiac monitoring, biomedical implants, remote patient monitoring, cardiac implantable electronic devices
MeSH terms: Cardiovascular Diseases, Humans, Electrocardiography, Ambulatory, Cell Phone, Wireless Technology

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