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Comparison of 24-hour Holter Monitoring with 14-day Novel Adhesive Patch Electrocardiographic Monitoring
Open accessAbstract
BACKGROUND: Cardiac arrhythmias are remarkably common and routinely go undiagnosed because they are often transient and asymptomatic. Effective diagnosis and treatment can substantially reduce the morbidity and mortality associated with cardiac arrhythmias. The Zio Patch (iRhythm Technologies, Inc, San Francisco, Calif) is a novel, single-lead electrocardiographic (ECG), lightweight, Food and Drug Administration-cleared, continuously recording ambulatory adhesive patch monitor suitable for detecting cardiac arrhythmias in patients referred for ambulatory ECG monitoring. METHODS: A total of 146 patients referred for evaluation of cardiac arrhythmia underwent simultaneous ambulatory ECG recording with a conventional 24-hour Holter monitor and a 14-day adhesive patch monitor. The primary outcome of the study was to compare the detection arrhythmia events over total wear time for both devices. Arrhythmia events were defined as detection of any 1 of 6 arrhythmias, including supraventricular tachycardia, atrial fibrillation/flutter, pause greater than 3 seconds, atrioventricular block, ventricular tachycardia, or polymorphic ventricular tachycardia/ventricular fibrillation. McNemar's tests were used to compare the matched pairs of data from the Holter and the adhesive patch monitor. RESULTS: Over the total wear time of both devices, the adhesive patch monitor detected 96 arrhythmia events compared with 61 arrhythmia events by the Holter monitor (P < .001). CONCLUSIONS: Over the total wear time of both devices, the adhesive patch monitor detected more events than the Holter monitor. Prolonged duration monitoring for detection of arrhythmia events using single-lead, less-obtrusive, adhesive-patch monitoring platforms could replace conventional Holter monitoring in patients referred for ambulatory ECG monitoring.
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“Patch monitors and MCT are the most complete outpatient ECG recording and increase the likelihood for detecting AF, and can provide accurate representation of AF burden for the duration of recording (Barrett et al., 2014;Rosenberg et al., 2013;Rothman et al., 2007;Turakhia et al., 2013;Schreiber et al., 2014).”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Barrett et al., 2014
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Ambulatory ECG monitoring can be considered to establish a diagnosis or make a symptom-rhythm correlation, with longer term monitoring resulting in higher yield [1,4] .( Table 2 )”
From Evaluating and managing bradycardia (2020) · cites this paper as [4]
In the citing paper
“Although most of these devices are only single lead, they can be as effective or even exceed the ability of conventional Holter monitoring to detect arrhythmias owing to their convenient usability over longer periods of time55,56.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [55]
In the citing paper
“Several patientoperated devices 136,137 and extended continuous ECG monitoring using skin patch recorders 138 have been validated for detection of paroxysmal AF. 139”
From 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS (2016) · cites this paper as [138]
In the citing paper
“Our study examined a more recent time period than prior investigations of long-term continuous monitors [5, 9] and suggests that changes in the device technology and accumulated operator experience may have resulted in improved patient compliance.”
From Incidence and timing of potentially high-risk arrhythmias detected through long term continuous ambulatory electrocardiographic monitoring (2016) · cites this paper as [5]
In the citing paper
“In another study by Barrett PM et al24 it was shown that adhesive patch monitor detected more arrhythmia events compared with the Holter monitor over the total wear time (P < .001), although the Holter monitor detected more events during the initial 24‐h monitoring period (P = .013).”
From Portable out-of-hospital electrocardiography: A review of current technologies (2018) · cites this paper as [24]
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Citations
Cites
Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292
Subclinical atrial fibrillation and the risk of stroke
Healey, J. S., Connolly, S. J., Gold, M. R., Israel, C. W., Van Gelder, I. C., Capucci, A., Lau, C. P., Fain, E., Yang, S., Bailleul, C., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1105575 · Cited by 2,100
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e318282ab8f · Cited by 1,294
Robinson, R. (1993) · BMJ · doi:10.1136/bmj.307.6907.793 · Cited by 819
Kim, M. H., Johnston, S. S., Chu, B. C., Dalal, M. R., & Schulman, K. L. (2011) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.110.958165 · Cited by 798
Jabaudon, D., Sztajzel, J. M., Sievert, K., Landis, T., & Sztajzel, R. F. (2004) · Stroke · doi:10.1161/01.str.0000131269.69502.d9 · Cited by 414
Kinlay, S., Leitch, J. W., Neil, A., Chapman, B. L., Hardy, D. B., & Fletcher, P. J. (1996) · Annals of Internal Medicine · doi:10.7326/0003-4819-124-1_part_1-199601010-00003 · Cited by 245
Ambulatory Arrhythmia Monitoring: Choosing the Right Device
Zimetbaum, P., & Goldman, A. (2010) · Circulation · doi:10.1161/circulationaha.109.925610 · Cited by 209
ROTHMAN, S. A., LAUGHLIN, J. C., SELTZER, J., WALIA, J. S., BAMAN, R. I., SIOUFFI, S. Y., SANGRIGOLI, R. M., & KOWEY, P. R. (2007) · Journal of Cardiovascular Electrophysiology · doi:10.1111/j.1540-8167.2006.00729.x · Cited by 194
Occult Atrial Fibrillation in Cryptogenic Stroke
Ritter, M., Kochhäuser, S., Duning, T., Reinke, F., Pott, C., Dechering, D. G., Eckardt, L., & Ringelstein, E. B. (2013) · Stroke · doi:10.1161/strokeaha.111.676189 · Cited by 180
Cited by
Sorted by citations
Items 201–300 of 496
Trobec, R., Tomašić, I., Rashkovska, A., Depolli, M., & Avbelj, V. (2017) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-3-319-59340-1_6 · Cited by 17
Murali, S., Brugger, N., Rincón, F. J., Mashru, M. R., Cook, S., & Goy, J. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.587945 · Cited by 17
Jo, Y., Kwon, J., Jeon, K., Cho, Y., Shin, J. H., Lee, Y., Jung, M., Ban, J., Kim, K., Lee, S. Y., et al. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab025 · Cited by 18
Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection
Mehrang, S., Airaksinen, J. K. E., Koivisto, T., Pänkäälä, M., Tadi, M. J., Hurnanen, T., Knuutila, T., Lahdenoja, O., Jaakkola, J., Jaakkola, S., et al. (2019) · IEEE Access · doi:10.1109/access.2019.2946117 · Cited by 17
External Cardiac Loop Recorders: Functionalities, Diagnostic Efficacy, Challenges and Opportunities
Rajanna, R. R., Sriraam, N., Prakash, V. S. R., Vittal, P. R., Arun, U., & Sahoo, S. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2021.3055219 · Cited by 17
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 18
McIntyre, W. F., Mendoza, P. A., Belley‐Côté, E. P., Whitlock, R. P., Um, K. J., Майстренко, Н. С., Devereaux, P. J., Conen, D., Wong, J. A., Connolly, S. J., et al. (2018) · Clinical Cardiology · doi:10.1002/clc.23053 · Cited by 15
Nuvvula, S., Ding, E., Saleeba, C., Shi, Q., Wang, Z., Kapoor, A., Saczynski, J. S., Lubitz, S. A., Kovell, L. C., McKee, M. D., et al. (2021) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2021.08.001 · Cited by 16
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
Liao, Z., Golparvar, A. J., Bathaei, M. J., Cardoso, F. A., & Boutry, C. M. (2025) · Advanced Science · doi:10.1002/advs.202509934 · Cited by 18
Bradyarrhythmias for the Internist
Elbanhawy, N., Chalil, S., & Abozguia, K. (2019) · Medical Clinics of North America · doi:10.1016/j.mcna.2019.05.003 · Cited by 15
Gradl, S., Cibis, T., Lauber, J., Richer, R., Rybalko, R., Pfeiffer, N., Leutheuser, H., Wirth, M., von Tscharner, V., & Eskofier, B. M. (2017) · Applied Sciences · doi:10.3390/app7121277 · Cited by 15
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
Sohn, K., Merchant, F. M., Abohashem, S., Kulkarni, K., Singh, J. P., Heist, E. K., Owen, C., Roberts, J. D., Isselbacher, E. M., Sana, F., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217217 · Cited by 15
Sandberg, E. L., Grenne, B. L., Berge, T., Grimsmo, J., Atar, D., Halvorsen, S., Fensli, R. W., & Jortveit, J. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/5230947 · Cited by 15
Medić, G., Kotsopoulos, N., Connolly, M. P., Lavelle, J., Norlock, V., Wadhwa, M. K., Mohr, B. A., & Derkac, W. M. (2021) · Medical Devices Evidence and Research · doi:10.2147/mder.s337142 · Cited by 15
Comparing twelve-lead electrocardiography with close-to-heart patch based electrocardiography
Hansen, I. H., Hoppe, K., Gjerde, A., Kanters, J. K., & Sørensen, H. B. D. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318366 · Cited by 15
Ambulatory cardiac bio-signals: From mirage to clinical reality through a decade of progress
Periyaswamy, T., & Balasubramanian, M. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.07.007 · Cited by 14
Kulkarni, K., Sevakula, R. K., Kassab, M. B., Nichols, J. H., Roberts, J. D., Isselbacher, E. M., & Armoundas, A. A. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab047 · Cited by 14
Willcox, M. E., Compton, S. J., & Bardy, G. H. (2021) · Heart Rhythm O2 · doi:10.1016/j.hroo.2021.09.008 · Cited by 14
Kumar, P. S., Ramasamy, M., Kallur, K. R., Rai, P., & Varadan, V. K. (2023) · Sensors · doi:10.3390/s23031389 · Cited by 16
KRUMERMAN, A. K., Biase, L. D., Gerstenfeld, E. P., Dickfeld, T. L., Verma, N., Liberman, L., Amara, R. S., Kacorri, A., Crosson, L. A., Wilk, A., et al. (2024) · Heart Rhythm · doi:10.1016/j.hrthm.2024.04.066 · Cited by 14
Choi, S. H., Kang, M., Kwon, K., Kim, J. S., Jung, J., & Lee, H. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3547110 · Cited by 14
Reasons for Hospitalization Among Emergency Department Patients With Syncope
Cook, O., Mukarram, M. A., Rahman, O. M., Kim, S., Arcot, K., Thavorn, K., Taljaard, M., Sivilotti, M. L. A., Rowe, B. H., & Thiruganasambandamoorthy, V. (2016) · Academic Emergency Medicine · doi:10.1111/acem.13053 · Cited by 14
Kabir, M., Alday, E. A. P., Thomas, J., Sedaghat, G., & Tereshchenko, L. G. (2016) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2016.12.005 · Cited by 15
Braunstein, E. D., Reynbakh, O., KRUMERMAN, A. K., Biase, L. D., & Ferrick, K. J. (2020) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.14727 · Cited by 14
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 17
Schultz, K. E., Lui, G. K., McElhinney, D. B., Long, J., Balasubramanian, V., Sakarovitch, C., Fernandes, S. M., Dubin, A. M., Rogers, I. S., Romfh, A., et al. (2019) · Congenital Heart Disease · doi:10.1111/chd.12736 · Cited by 14
Gupta, N., Yang, J., Reynolds, K., Lenane, J., Garcia, E., Sung, S. H., Harrison, T. N., Solomon, M. D., & Go, A. S. (2022) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2021.11.027 · Cited by 14
Transformer-based temporal sequence learners for arrhythmia classification
Varghese, A., Kamal, S., & Kurian, J. (2023) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-023-02858-3 · Cited by 12
2025 Clinical practice guidelines for Supraventricular tachycardias
Popov, S. V., Davtyan, K. V., Shubik, Y. V., Artyukhina, Е. А., Базаев, В. А., Batalov, R. E., Bokeria, L. A., Bubnova, M. G., Vygovsky, A. B., Sp, G., et al. (2025) · Russian Journal of Cardiology · doi:10.15829/1560-4071-2025-6448 · Cited by 12
Piccini, J. P., Clark, R. L., Kowey, P. R., Mittal, S., Dunnmon, P. M., Stockbridge, N., Reiffel, J. A., Turakhia, M. P., Ziegler, P., Kleiman, R., et al. (2017) · American Heart Journal · doi:10.1016/j.ahj.2017.01.012 · Cited by 12
Mavrogeni, S. I., Sfikakis, P. P., Dimitroulas, T., Koutsogeorgopoulou, L. A., Markousis‐Mavrogenis, G., Poulos, G., Kolovou, G. D., THEODORAKIS, G. N., & Kitas, G. D. (2018) · Rheumatology International · doi:10.1007/s00296-018-4110-5 · Cited by 12
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
Heart Rhythm Analyzed via Shapelets Distinguishes Sleep From Awake
Zorko, A., Frühwirth, M., Goswami, N., Moser, M., & Levnajić, Z. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2019.01554 · Cited by 12
Hurley, N. C., Spatz, E. S., Krumholz, H. M., Jafari, R., & Mortazavi, B. J. (2020) · ACM Transactions on Computing for Healthcare · doi:10.1145/3417958 · Cited by 13
Wireless electrocardiographic monitoring in veterinary medicine
Brložnik, M., & Avbelj, V. (2015) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro.2015.7160294 · Cited by 12
Schmalstieg-Bahr, K., Gladstone, D. J., Hummers, E., Suerbaum, J., Healey, J. S., Zapf, A., Köster, D., Werhahn, S. M., & Wachter, R. (2024) · European Journal of General Practice · doi:10.1080/13814788.2024.2327367 · Cited by 12
Rowin, E. J., Das, G., Madias, C. A., Hsu, M., Crosson, L. A., Turakhia, M. P., Maron, B. J., & Maron, M. S. (2024) · Heart Rhythm · doi:10.1016/j.hrthm.2024.09.040 · Cited by 12
Banerjee, A. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1548554 · Cited by 13
Jones, D., Skrepnik, N. V., Toselli, R. M., & Leroy, B. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5940 · Cited by 11
Shen, Q., Li, J., Cui, C., Wang, X., Gao, H., Liu, C., & Chen, M. (2020) · Journal of Biomedical Research · doi:10.7555/jbr.34.20200074 · Cited by 11
Sejr, M. H., Nielsen, J. C., Damgaard, D., Sandal, B. F., & May, O. (2017) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2017.01.009 · Cited by 11
Quan, K. J. (2019) · Medical Clinics of North America · doi:10.1016/j.mcna.2019.05.005 · Cited by 11
Kim, S., Lim, J., & Jang, J. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3411056 · Cited by 11
Zhao, F., Balthazaar, S. J. T., Hiremath, S. V., Nightingale, T. E., & Panza, G. S. (2024) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2024.06.014 · Cited by 11
Saggu, D. K., Madappa, N. U., Sarkar, S., Sathiyamoorthy, A., Dash, S., Veerendranath Reddy, P., Rajan, V., & Calambur, N. (2024) · Indian Pacing and Electrophysiology Journal · doi:10.1016/j.ipej.2024.08.003 · Cited by 10
A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke
Kareem, M., Lei, N., Ali, A., Ciaccio, E. J., Acharya, U. R., & Faust, O. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102818 · Cited by 10
Remote ECG Monitoring by ECG247 Smart Heart Sensor
Jortveit, J., & Fensli, R. W. (2022) · International Journal of Telemedicine and Applications · doi:10.1155/2022/6812889 · Cited by 10
Comparison of wireless electrocardiographic monitoring and standard ECG in dogs
Krvavica, A., Likar, S., Brložnik, M., Petrič, A. D., & Avbelj, V. (2016) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro.2016.7522175 · Cited by 10
Detection and management of atrial fibrillation using remote monitoring
Hickey, K. T., Riga, T. C., Mitha, S. A., & Turchioe, M. R. (2018) · The Nurse Practitioner · doi:10.1097/01.npr.0000530214.17031.45 · Cited by 10
Anticoagulant Therapy in Elderly Patients With Atrial Fibrillation
Belenkov, Y. N., Андрониковна, Ш. Г., Khabarova, N. V., & An, G. V. (2018) · Kardiologiia · doi:10.18087/cardio.2018.10.10177 · Cited by 10
Stretch‐Safe: Magnetic Connectors for Modular Stretchable Electronics
Kettlgruber, G., Danninger, D., Moser, R., Drack, M., Siket, C. M., Wirthl, D., Hartmann, F., Mao, G., Kaltenbrunner, M., & Bauer, S. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000065 · Cited by 10
Okubo, Y., Tokuyama, T., Okamura, S., Ikeuchi, Y., Miyauchi, S., Nakano, Y., & for the MYBEAT Trial Investigators (2021) · Circulation Journal · doi:10.1253/circj.cj-20-1061 · Cited by 10
Prevalencia de fibrilación auricular en pacientes hospitalizados por Medicina interna
Clavijo, J. A. C., Quintero, S., Valderrama, F. G., Fernández, J. J. D., & Ortega, J. (2019) · Revista Colombiana de Cardiología · doi:10.1016/j.rccar.2019.01.007 · Cited by 13
Patterns of objectively measured physical activity differ between men living with and without HIV
Etzkorn, L., Liu, F., Urbanek, J. K., Heravi, A. S., Magnani, J. W., Plankey, M. W., Margolich, J. B., Witt, M. D., Palella, F. J., Haberlen, S., et al. (2022) · AIDS · doi:10.1097/qad.0000000000003274 · Cited by 9
Chen, W., Wu, Y., Hsu, Y., Hsu, J., Tseng, H., Chen, C., Chiang, M.-H., Hsiao, J., Chin, S., Huang, Y., et al. (2024) · Clinical Cardiology · doi:10.1002/clc.24247 · Cited by 9
Substantiation and Effectiveness of Remote Monitoring System Based on IoMT Using Portable ECG Device
Lee, H. Y., Kim, Y.-J., Lee, K. H., Lee, J. H., Cho, S. P., Park, J. H., Park, I.-H., & Youk, H. (2024) · Bioengineering · doi:10.3390/bioengineering11080836 · Cited by 9
Francisco, A., Pascoal, C., Lamborne, P., Morais, H., & Gonçalves, M. A. D. A. (2025) · Cureus · doi:10.7759/cureus.77404 · Cited by 12
Effects of Touchscreen Media Use on Toddlers’ Sleep: Insights from Longtime ECG Monitoring
Wimmer, S., Eglmaier, M. T. W., Eichen, L., Rettenbacher, K., Macher, D., Walter‐Laager, C., Lackner, H. K., Papousek, I., & Paechter, M. (2021) · Sensors · doi:10.3390/s21227515 · Cited by 9
Modern methods of remote monitoring and rehabilitation of patients with cardiovascular diseases
Lyapina, I. N., Zvereva, T. N., & Pomeshkina, S. A. (2022) · Complex Issues of Cardiovascular Diseases · doi:10.17802/2306-1278-2022-11-1-112-123 · Cited by 17
Mehrang, S., Tadi, M. J., Knuutila, T., Jaakkola, J., Jaakkola, S., Kiviniemi, T., Vasankari, T., Airaksinen, J. K. E., Koivisto, T., & Pänkäälä, M. (2022) · Physiological Measurement · doi:10.1088/1361-6579/ac66ba · Cited by 10
Remote Monitoring in Cardiovascular Diseases
Pelter, M. N., Quer, G., & Pandit, J. A. (2023) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-023-00726-1 · Cited by 12
Patient-centric care: Unveiling the potential of wearable electronics in clinical practice
Zhao, P., Xu, J., & Han, M. (2024) · Wearable electronics. · doi:10.1016/j.wees.2024.07.001 · Cited by 9
Li, X., & Sun, Y. (2018) · Smart Health · doi:10.1016/j.smhl.2018.09.001 · Cited by 9
StudyInvestigators, T. R. A., Nagashima, K., Okumura, Y., Yokoyama, K., Matsumoto, N., Tachibana, E., Kuronuma, K., Oiwa, K., Matsumoto, M., Kojima, T., et al. (2019) · Heart and Vessels · doi:10.1007/s00380-019-01535-6 · Cited by 9
An Auto Adjustable Transimpedance Readout System for Wearable Healthcare Devices
Park, H., Lakshminarayana, S., Pan, C., Chung, H.-J., & Jung, S. (2022) · Electronics · doi:10.3390/electronics11081181 · Cited by 9
Clinical impact of a novel ambulatory rhythm monitor in children
May, J. W., Carter, E. L., Hitt, J. R., & Burklow, T. R. (2018) · Cardiology in the Young · doi:10.1017/s1047951118001142 · Cited by 9
Bekiryazıcı, T., Aydemır, G., & Gürkan, H. (2024) · IRBM · doi:10.1016/j.irbm.2024.100859 · Cited by 8
Lead Systems and Recording Devices
Petrėnas, A., Marozas, V., & Sörnmo, L. (2018) · Series in bioengineering · doi:10.1007/978-3-319-68515-1_2 · Cited by 8
Autonomic regulation during sleep in PTSD
Woodward, S. H. (2022) · Neurobiology of Stress · doi:10.1016/j.ynstr.2022.100483 · Cited by 8
Kim, S., Lim, J., Shin, M., & Jung, S. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340882 · Cited by 8
Chronic Biosymbiotic Electrophysiology
Clausen, D. M., Stuart, T., Kasper, K. A., McGuire, T. D., Dabdoub, J. P., Russell, A., Perez, D., Sathishkumaraselvam, V., Miller, A. M., Roberts, S., et al. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202407086 · Cited by 8
Kao, W., Hou, S., Huang, C., Chao, C., Cheng, C.-C., & Chen, Y.-J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198852 · Cited by 8
Gahungu, N., Judkins, C., Gabbay, E., & Playford, D. A. (2019) · Sleep Medicine · doi:10.1016/j.sleep.2019.01.036 · Cited by 7
Wireless Body Sensor for Electrocardiographic Monitoring in Equine Medicine
Brložnik, M., Petrič, A. D., Kos, V. K., Rashkovska, A., & Avbelj, V. (2019) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro.2019.8756965 · Cited by 8
Technological Advances in Arrhythmia Management Applied to Adults With Congenital Heart Disease
Mondesert, B. A., Nair, K., McLeod, C. J., & Khairy, P. (2019) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2019.06.034 · Cited by 8
[Design and preliminary validation of a ubiquitous and wearable physiological monitoring system].
Cao, D., Li, D., Zhang, Z., Liu, X., Liang, H., He, M., & Yu, M. (2019) · PubMed Central · doi:10.7507/1001-5515.201709029 · Cited by 8
Friedreich’s Ataxia: Case series and the Additive Value of Cardiovascular Magnetic Resonance
Mavrogeni, S. I., Giannakopoulou, A., Katsalouli, M., Pons, R. M., Papavasiliou, A., Kolovou, G. D., Noutsias, M., Papadopoulos, G., Karanasios, E., & Chrousos, G. P. (2019) · Journal of Neuromuscular Diseases · doi:10.3233/jnd-180373 · Cited by 8
Real time ECG R-peak detection by extremum sampling
Reklewski, W., Heryan, K., Miśkowicz, M., & Augustyniak, P. (2020) · International Conference on Event-based Control, Communication, and Signal Processing · doi:10.1109/ebccsp51266.2020.9291358 · Cited by 8
Bray, J. J. H., Lloyd, E. F., Adenwalla, F., Kelly, S., Wareham, K., & Halcox, J. (2021) · BMJ Open Quality · doi:10.1136/bmjoq-2020-001270 · Cited by 8
Effect of the recording condition on the quality of a single-lead electrocardiogram
Hamada, S., Sasaki, K., Kito, H., Tooyama, Y., Ihara, K., Aoyagi, E., Ichimura, N., Tohda, S., & Sasano, T. (2021) · Heart and Vessels · doi:10.1007/s00380-021-01991-z · Cited by 9
Keen, J., & O'Connor, S. A. (2021) · Journal of Veterinary Cardiology · doi:10.1016/j.jvc.2020.12.005 · Cited by 8
Chen, W. (2017) · Springer eBooks · doi:10.1007/978-3-319-69362-0_1 · Cited by 8
Basem, J. I., Mani, R., Sun, S., Gilotra, K., Dianati‐Maleki, N., & Dashti, R. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1525966 · Cited by 8
Advancements in Sensor Technology for Monitoring and Management of Chronic Coronary Syndrome
Cricco, R., Segreti, A., Ferro, A., Beato, S., Castaldo, G., Ciancio, M., Sacco, F. M., Pennazza, G., Ussia, G. P., & Grigioni, F. (2025) · Sensors · doi:10.3390/s25154585 · Cited by 9
CNN-based Two Step R Peak Detection Method: Combining Segmentation and Regression
Jang, J., Park, S., Kim, J.-K., An, J., & Jung, S. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871227 · Cited by 8
Intelligent algorithms powered smart devices for atrial fibrillation discrimination
Xie, L., Wang, L., Mo, D., Zhang, Z., & Liang, M. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107480 · Cited by 7
Remote patient monitoring for improving outpatient care of patients at risk for sepsis
Bui, T., Grayson, M. R., Hofer, K., Kyle, M., Morrow, M., Rodammer, N., Amani, F., Barnes, L. E., & Patek, S. D. (2016) · Systems and Information Engineering Design Symposium · doi:10.1109/sieds.2016.7489286 · Cited by 7
Passive Capacitive ECG Sensing: Assessment of Signal Quality During Different Types of Body Movement
Kirchner, J., Pfeiffer, S., & Fischer, G. (2018) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2018.8438791 · Cited by 7
Li, C., Yen, C., Wang, K.-C., You, C.-W., Lau, S.-Y., Chen, C., Polly Huang, B., & Chu, H.-H. (2014) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2632048.2632081 · Cited by 7
Arnold, R. J. G., & Layton, A. J. (2015) · Journal of health economics and outcomes research · doi:10.36469/9897 · Cited by 7
Patel, U. K., Malik, P., Patel, N., Patel, P., Mehta, N. N., Urhoghide, E., Aedma, S. K., Chakinala, R. C., Shah, S., & Arumaithurai, K. (2021) · Cureus · doi:10.7759/cureus.12437 · Cited by 7
Mobile health technologies in cardiology
Belenkov, Y. N., & Kozhevnikova, M. V. (2022) · Kardiologiia · doi:10.18087/cardio.2022.1.n1963 · Cited by 9
Amami, K., Yoshihisa, A., Horikoshi, Y., Yamada, S., Nehashi, T., Hijioka, N., Nodera, M., Kaneshiro, T., Yokokawa, T., Misaka, T., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273541 · Cited by 5
Joint HW/SW Signal Co-Conditioning Strategy for Unobtrusive Single-Arm Cardiac Surveillance
Huang, L., Chen, J., Zhang, X., Li, Z., Xu, L., Millham, R. C., Bian, G., & Wu, W. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3522425 · Cited by 6
Access and reimbursement of ambulatory cardiac monitoring across Europe
Boriani, G., Brachmann, J., Lewalter, T., Wright, D. J., Badertscher, P., Gale, C. P., Merino, J. L., Pürerfellner, H., & Lip, G. Y. H. (2025) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztaf102 · Cited by 6
2025 Clinical practice guidelines for Bradyarrhythmias and conduction disorders
Revishvili, A. S. H., Glezer, M. G., Artyukhina, Е. А., Базаев, В. А., Batalov, R. E., Bockeria, L. A., Davtyan, K. V., Lebedev, D. S., Лебедева, В. К., Lyubimtseva, T. A., et al. (2026) · Russian Journal of Cardiology · doi:10.15829/1560-4071-2025-6669 · Cited by 8
Santala, O. E., Lipponen, J. A., Jäntti, H., Rissanen, T. T., Tarvainen, M. P., Väliaho, E., Rantula, O., Naukkarinen, N. S., Hartikainen, J. E. K., Martikainen, T. J., et al. (2023) · Cardiology in Review · doi:10.1097/crd.0000000000000526 · Cited by 10
Tondas, A. E., Halim, R. A., & Guyanto, M. (2020) · Indonesian Journal of Cardiology · doi:10.30701/ijc.1010 · Cited by 6
Metadata
- Authors
- Barrett, P. M., Komatireddy, R., Haaser, S., Topol, S., Sheard, J., Encinas, J., Fought, A. J., & Topol, E. J.
- Affiliations
- Scripps Health (US)
- Corresponding author
- Topol, Eric J.
- Venue
- The American Journal of Medicine
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 127
- Issue
- 1
- Pages
- 95.e11-95.e17
- ISSN
- 0002-9343 (ISSN-L)
- PMC
- PMC3882198
- OpenAlex
- W2079951953
- Semantic Scholar
- 101423c149063dc6c6b0798d5f2e541417d16fbe
- Cited by
- 498
- References
- 20
- Citations by year
- 2026: 35 · 2025: 37 · 2024: 37 · 2023: 33 · 2022: 51 · 2021: 62 · 2020: 38 · 2019: 50 · 2018: 54 · 2017: 50 · 2016: 24 · 2015: 16 · 2014: 9
- FWCI
- 11.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The American Journal of Medicine (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Advancing Translational Sciences (NCT01559246, UL1 TR000109)
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- arrhythmia detection, 24-hour Holter monitoring, Holter monitoring, single-lead ECG, atrial fibrillation, supraventricular tachycardia, ventricular tachycardia, atrioventricular block
- MeSH terms
- Adhesives, Adult, Aged, Arrhythmias, Cardiac, Atrial Fibrillation, Atrial Flutter, Electrocardiography, Equipment Design, Female, Humans, Male, Middle Aged, Tachycardia, Supraventricular, Time Factors, Ventricular Fibrillation, Electrocardiography, Ambulatory, Patient Satisfaction, Tachycardia, Ventricular, Atrioventricular Block
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