1
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Zepeda-Echavarria A, van de Leur RR, Vessies M, de Vries NM, van Sleuwen M, Hassink RJ, Wildbergh TX, van Doorn JL, van der Zee R, Doevendans PA, Jaspers JEN, van Es R. Detection of acute coronary occlusion with a novel mobile electrocardiogram device: a pilot study. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2024; 5:183-191. [PMID: 38505481 PMCID: PMC10944676 DOI: 10.1093/ehjdh/ztae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/10/2024] [Accepted: 01/15/2024] [Indexed: 03/21/2024]
Abstract
Aims Many portable electrocardiogram (ECG) devices have been developed to monitor patients at home, but the majority of these devices are single lead and only intended for rhythm disorders. We developed the miniECG, a smartphone-sized portable device with four dry electrodes capable of recording a high-quality multi-lead ECG by placing the device on the chest. The aim of our study was to investigate the ability of the miniECG to detect occlusive myocardial infarction (OMI) in patients with chest pain. Methods and results Patients presenting with acute chest pain at the emergency department of the University Medical Center Utrecht or Meander Medical Center, between May 2021 and February 2022, were included in the study. The clinical 12-lead ECG and the miniECG before coronary intervention were recorded. The recordings were evaluated by cardiologists and compared the outcome of the coronary angiography, if performed. A total of 369 patients were measured with the miniECG, 46 of whom had OMI. The miniECG detected OMI with a sensitivity and specificity of 65 and 92%, compared with 83 and 90% for the 12-lead ECG. Sensitivity of the miniECG was similar for different culprit vessels. Conclusion The miniECG can record a multi-lead ECG and rule-in ST-segment deviation in patients with occluded or near-occluded coronary arteries from different culprit vessels without many false alarms. Further research is required to add automated analysis to the recordings and to show feasibility to use the miniECG by patients at home.
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Affiliation(s)
- Alejandra Zepeda-Echavarria
- Department of Medical Technology and Clinical Physics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Rutger R van de Leur
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Melle Vessies
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Nynke M de Vries
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Meike van Sleuwen
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Rutger J Hassink
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Thierry X Wildbergh
- Department of Cardiology, Meander Medical Center Amersfoort, Amersfoort, The Netherlands
| | - J L van Doorn
- Department of Cardiology, Meander Medical Center Amersfoort, Amersfoort, The Netherlands
| | | | - Pieter A Doevendans
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
- Central Military Hospital, Utrecht, The Netherlands
| | - Joris E N Jaspers
- Department of Medical Technology and Clinical Physics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - René van Es
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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2
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Joza JE. Another Step Toward Early Ischemia Detection? JACC. ADVANCES 2023; 2:100449. [PMID: 38939445 PMCID: PMC11198461 DOI: 10.1016/j.jacadv.2023.100449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Affiliation(s)
- Jacqueline E. Joza
- Department of Medicine, Division of Cardiology, McGill University Health Center, Montreal, Canada
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3
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Shvilkin A, Vukajlović D, Bojović BP, Hadžievski LR, Vajdic B, Atanasoski VA, Miletić MN, Zimetbaum PJ, Gibson CM, Vukčević V. Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration. JACC. ADVANCES 2023; 2:100454. [PMID: 38939446 PMCID: PMC11198085 DOI: 10.1016/j.jacadv.2023.100454] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 04/17/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2024]
Abstract
Background Early coronary occlusion detection by portable personal device with limited number of electrocardiographic (ECG) leads might shorten symptom-to-balloon time in acute coronary syndromes. Objectives The purpose of this study was to compare the accuracy of coronary occlusion detection using vectorcardgiographic analysis of a near-orthogonal 3-lead ECG configuration suitable for credit card-size personal device integration with automated and human 12 lead ECG interpretation. Methods The 12-lead ECGs with 3 additional leads ("abc") using 2 arm and 2 left parasternal electrodes were recorded in 66 patients undergoing percutaneous coronary intervention prior to ("baseline", n = 66), immediately before ("preinflation", n = 66), and after 90-second balloon coronary occlusion ("inflation", n = 120). Performance of computer-measured ST-segment shift on vectorcardgiographic loops constructed from "abc" and 12 leads, standard 12-lead ECG, and consensus human interpretation in coronary occlusion detection were compared in "comparative" and "spot" modes (with/without reference to "baseline") using areas under ROC curves (AUC), reliability, and sensitivity/specificity analysis. Results Comparative "abc"-derived ST-segment shift was similar to two 12-lead methods (vector/traditional) in detecting balloon coronary occlusion (AUC = 0.95, 0.96, and 0.97, respectively, P = NS). Spot "abc" and 12-lead measurements (AUC = 0.72, 0.77, 0.68, respectively, P = NS) demonstrated poorer performance (P < 0.01 vs comparative measurements). Reliability analysis demonstrated comparative automated measurements in "good" agreement with reference (preinflation/inflation), while comparative human interpretation was in "moderate" range. Spot automated and human reading showed "poor" agreement. Conclusions Vectorcardiographic ST-segment analysis using baseline comparison of 3-lead ECG system suitable for credit card-size personal device integration is similar to established 12-lead ECG methods in detecting balloon coronary occlusion.
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Affiliation(s)
- Alexei Shvilkin
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Dejan Vukajlović
- Kliniken am Goldenen Steig, KH Grafenau, Kardiologie/Innere Medizin, Grafenau, Germany
| | - Boško P. Bojović
- Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia
- HeartBeam Inc, Santa Clara, California, USA
| | - Ljupčo R. Hadžievski
- Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia
- HeartBeam Inc, Santa Clara, California, USA
| | | | | | - Marjan N. Miletić
- Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia
- HeartBeam Inc, Santa Clara, California, USA
| | - Peter J. Zimetbaum
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - C. Michael Gibson
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Vladan Vukčević
- Department of Medicine, Clinical Center of Serbia, Belgrade, Serbia
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4
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Zepeda-Echavarria A, van de Leur RR, van Sleuwen M, Hassink RJ, Wildbergh TX, Doevendans PA, Jaspers J, van Es R. Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review. JMIR Cardio 2023; 7:e44003. [PMID: 37418308 PMCID: PMC10362423 DOI: 10.2196/44003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/29/2023] [Accepted: 06/06/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Electrocardiograms (ECGs) are used by physicians to record, monitor, and diagnose the electrical activity of the heart. Recent technological advances have allowed ECG devices to move out of the clinic and into the home environment. There is a great variety of mobile ECG devices with the capabilities to be used in home environments. OBJECTIVE This scoping review aimed to provide a comprehensive overview of the current landscape of mobile ECG devices, including the technology used, intended clinical use, and available clinical evidence. METHODS We conducted a scoping review to identify studies concerning mobile ECG devices in the electronic database PubMed. Secondarily, an internet search was performed to identify other ECG devices available in the market. We summarized the devices' technical information and usability characteristics based on manufacturer data such as datasheets and user manuals. For each device, we searched for clinical evidence on the capabilities to record heart disorders by performing individual searches in PubMed and ClinicalTrials.gov, as well as the Food and Drug Administration (FDA) 510(k) Premarket Notification and De Novo databases. RESULTS From the PubMed database and internet search, we identified 58 ECG devices with available manufacturer information. Technical characteristics such as shape, number of electrodes, and signal processing influence the capabilities of the devices to record cardiac disorders. Of the 58 devices, only 26 (45%) had clinical evidence available regarding their ability to detect heart disorders such as rhythm disorders, more specifically atrial fibrillation. CONCLUSIONS ECG devices available in the market are mainly intended to be used for the detection of arrhythmias. No devices are intended to be used for the detection of other cardiac disorders. Technical and design characteristics influence the intended use of the devices and use environments. For mobile ECG devices to be intended to detect other cardiac disorders, challenges regarding signal processing and sensor characteristics should be solved to increase their detection capabilities. Devices recently released include the use of other sensors on ECG devices to increase their detection capabilities.
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Affiliation(s)
- Alejandra Zepeda-Echavarria
- Medical Technologies and Clinical Physics, Facilitation Department, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rutger R van de Leur
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | - Meike van Sleuwen
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rutger J Hassink
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Pieter A Doevendans
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
- HeartEye BV, Delft, Netherlands
- Netherlands Heart Institute, Utrecht, Netherlands
| | - Joris Jaspers
- Medical Technologies and Clinical Physics, Facilitation Department, University Medical Center Utrecht, Utrecht, Netherlands
| | - René van Es
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
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5
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Van Heuverswyn F, De Schepper C, De Buyzere M, Coeman M, De Pooter J, Drieghe B, Kayaert P, Timmers L, Gevaert S, Calle S, Kamoen V, Demolder A, El Haddad M, Gheeraert P. Clinical validation of a 13-lead electrocardiogram derived from a self-applicable 3-lead recording for diagnosis of myocardial supply ischaemia and common non-ischaemic electrocardiogram abnormalities at rest. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022; 3:548-558. [PMID: 36710895 PMCID: PMC9779790 DOI: 10.1093/ehjdh/ztac062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/22/2022] [Indexed: 11/13/2022]
Abstract
Aims In this study, we compare the diagnostic accuracy of a standard 12-lead electrocardiogram (ECG) with a novel 13-lead ECG derived from a self-applicable 3-lead ECG recorded with the right exploratory left foot (RELF) device. The 13th lead is a novel age and sex orthonormalized computed ST (ASO-ST) lead to increase the sensitivity for detecting ischaemia during acute coronary artery occlusion. Methods and results A database of simultaneously recorded 12-lead ECGs and RELF recordings from 110 patients undergoing coronary angioplasty and 30 healthy subjects was used. Five cardiologists scored the learning data set and five other cardiologists scored the validation data set. In addition, the presence of non-ischaemic ECG abnormalities was compared. The accuracy for detection of myocardial supply ischaemia with the derived 12 leads was comparable with that of the standard 12-lead ECG (P = 0.126). By adding the ASO-ST lead, the accuracy increased to 77.4% [95% confidence interval (CI): 72.4-82.3; P < 0.001], which was attributed to a higher sensitivity of 81.9% (95% CI: 74.8-89.1) for the RELF 13-lead ECG compared with a sensitivity of 76.8% (95% CI: 71.9-81.7; P < 0.001) for the 12-lead ECG. There was no significant difference in the diagnosis of non-ischaemic ECG abnormalities, except for Q-waves that were more frequently detected on the standard ECG compared with the derived ECG (25.9 vs. 13.8%; P < 0.001). Conclusion A self-applicable and easy-to-use 3-lead RELF device can compute a 12-lead ECG plus an ischaemia-specific 13th lead that is, compared with the standard 12-lead ECG, more accurate for the visual diagnosis of myocardial supply ischaemia by cardiologists.
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Affiliation(s)
| | - Céline De Schepper
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Marc De Buyzere
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Mathieu Coeman
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Jan De Pooter
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Benny Drieghe
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Peter Kayaert
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Liesbeth Timmers
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Sofie Gevaert
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Simon Calle
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Victor Kamoen
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Anthony Demolder
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Milad El Haddad
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
| | - Peter Gheeraert
- Department of Cardiology, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium
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6
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Koivisto T, Lahdenoja O, Hurnanen T, Vasankari T, Jaakkola S, Kiviniemi T, Airaksinen KEJ. Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study. SENSORS 2022; 22:s22124384. [PMID: 35746166 PMCID: PMC9228321 DOI: 10.3390/s22124384] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 02/04/2023]
Abstract
Novel means to minimize treatment delays in patients with ST elevation myocardial infarction (STEMI) are needed. Using an accelerometer and gyroscope on the chest yield mechanocardiographic (MCG) data. We investigated whether STEMI causes changes in MCG signals which could help to detect STEMI. The study group consisted of 41 STEMI patients and 49 control patients referred for elective coronary angiography and having normal left ventricular function and no valvular heart disease or arrhythmia. MCG signals were recorded on the upper sternum in supine position upon arrival to the catheterization laboratory. In this study, we used a dedicated wearable sensor equipped with 3-axis accelerometer, 3-axis gyroscope and 1-lead ECG in order to facilitate the detection of STEMI in a clinically meaningful way. A supervised machine learning approach was used. Stability of beat morphology, signal strength, maximum amplitude and its timing were calculated in six axes from each window with varying band-pass filters in 2-90 Hz range. In total, 613 features were investigated. Using logistic regression classifier and leave-one-person-out cross validation we obtained a sensitivity of 73.9%, specificity of 85.7% and AUC of 0.857 (SD = 0.005) using 150 best features. As a result, mechanical signals recorded on the upper chest wall with the accelerometers and gyroscopes differ significantly between STEMI patients and stable patients with normal left ventricular function. Future research will show whether MCG can be used for the early screening of STEMI.
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Affiliation(s)
- Tero Koivisto
- Department of Computing, University of Turku, Vesilinnantie 5, 20500 Turku, Finland; (T.K.); (T.H.)
| | - Olli Lahdenoja
- Department of Computing, University of Turku, Vesilinnantie 5, 20500 Turku, Finland; (T.K.); (T.H.)
- Correspondence:
| | - Tero Hurnanen
- Department of Computing, University of Turku, Vesilinnantie 5, 20500 Turku, Finland; (T.K.); (T.H.)
| | - Tuija Vasankari
- Heart Center, Turku University Hospital, Hämeentie 11, 20520 Turku, Finland; (T.V.); (S.J.); (T.K.); (K.E.J.A.)
| | - Samuli Jaakkola
- Heart Center, Turku University Hospital, Hämeentie 11, 20520 Turku, Finland; (T.V.); (S.J.); (T.K.); (K.E.J.A.)
| | - Tuomas Kiviniemi
- Heart Center, Turku University Hospital, Hämeentie 11, 20520 Turku, Finland; (T.V.); (S.J.); (T.K.); (K.E.J.A.)
| | - K. E. Juhani Airaksinen
- Heart Center, Turku University Hospital, Hämeentie 11, 20520 Turku, Finland; (T.V.); (S.J.); (T.K.); (K.E.J.A.)
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Sanders DJ, Wasserlauf J, Passman RS. Use of Smartphones and Wearables for Arrhythmia Monitoring. Card Electrophysiol Clin 2021; 13:509-522. [PMID: 34330377 DOI: 10.1016/j.ccep.2021.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Smartphones and other wearable electronic devices increasingly are used for ambulatory cardiac rhythm assessment. These consumer technologies have been evaluated in several studies for diagnosis and management of atrial fibrillation. Diverse mobile health applications, including management of other arrhythmias and medical conditions, are expanding alongside advances in technology. Electronic devices owned by millions of consumers have the potential to alter health care delivery as well as research design and implementation. This review provides an up-to-date discussion of the available mobile health technologies, specific applications and limitations for arrhythmia evaluation, their impact on health care systems, and key areas for future investigation.
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Affiliation(s)
- David J Sanders
- Department of Internal Medicine, Division of Cardiology, Rush University, 1717 West Harrison Street, Suite 331, Chicago, IL 60612, USA
| | - Jeremiah Wasserlauf
- Department of Internal Medicine, Division of Cardiology, Rush University, 1717 West Harrison Street, Suite 331, Chicago, IL 60612, USA
| | - Rod S Passman
- Department of Internal Medicine, Division of Cardiology, Northwestern University Feinberg School of Medicine, 251 East Huron, Feinberg 8-503, Chicago, IL 60611, USA.
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8
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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 PMCID: PMC7892205 DOI: 10.1161/circep.120.009204] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Supplemental Digital Content is available in the text. This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society describes the current status of mobile health technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self-management are novel aspects of mobile health. The promises of predictive analytics but also operational challenges in embedding mobile health into routine clinical care are explored.
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Affiliation(s)
- Niraj Varma
- Cleveland Clinic, OH (N.V., J.D.E., R.M., R.E.R.)
| | | | | | | | - Yu-Feng Hu
- Taipei Veterans General Hospital, Taiwan (Y.-F.H.)
| | | | | | | | | | | | | | - Reena Mehra
- Cleveland Clinic, OH (N.V., J.D.E., R.M., R.E.R.)
| | - Alex Page
- University of Rochester, NY (J.-P.C., A.P., J.S.S.)
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL (R. Passman)
| | | | - Ewa Piotrowicz
- National Institute of Cardiology, Warsaw, Poland (E.P., R. Piotrowicz)
| | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (A.L.R.)
| | | | - Andrea M Russo
- Cooper Medical School of Rowan University, Camden, NJ (A.M.R.)
| | - David Slotwiner
- Cardiology Division, New York-Presbyterian Queens, NY (D.S.)
| | | | - Emma Svennberg
- Karolinska University Hospital, Stockholm, Sweden (E.S.)
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9
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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. [PMID: 35265889 PMCID: PMC8890358 DOI: 10.1016/j.cvdhj.2020.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self-management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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10
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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 PMCID: PMC7935104 DOI: 10.1111/anec.12795] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 02/06/2023] Open
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/ Heart Rhythm Society/ European Heart Rhythm Association/ Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self‐management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Affiliation(s)
| | | | | | - Hein Heidbuchel
- Antwerp University and University Hospital, Antwerp, Belgium
| | - Yufeng Hu
- Taipei Veterans General Hospital, Taipei, Taiwan
| | | | | | | | | | | | | | | | - Alex Page
- University of Rochester, Rochester, NY, USA
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Andrea M Russo
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - David Slotwiner
- Cardiology Division, NewYork-Presbyterian Queens, and School of Health Policy and Research, Weill Cornell Medicine, New York, NY, USA
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11
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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 PMCID: PMC8022003 DOI: 10.1002/joa3.12461] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 02/06/2023] Open
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health (“mHealth”) technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self‐management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Affiliation(s)
| | | | | | | | - Yufeng Hu
- Taipei Veterans General Hospital Taipei Taiwan
| | | | | | | | | | | | | | | | - Alex Page
- University of Rochester Rochester NY USA
| | - Rod Passman
- Northwestern University Feinberg School of Medicine Chicago IL USA
| | | | | | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina Centro de Telessaúde Hospital das Clínicas and Departamento de Clínica Médica Universidade Federal de Minas Gerais Belo Horizonte Brazil
| | | | | | - David Slotwiner
- Cardiology Division NewYork-Presbyterian Queens and School of Health Policy and Research Weill Cornell Medicine New York NY USA
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Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc J, 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. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2021; 2:7-48. [PMID: 36711170 PMCID: PMC9708018 DOI: 10.1093/ehjdh/ztab001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology / Heart Rhythm Society / European Heart Rhythm Association / Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self-management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Affiliation(s)
- Niraj Varma
- Cleveland Clinic, Cleveland, OH, USA,Correspondence: Niraj Varma, Cleveland Clinic, Cleveland, OH, USA.
| | | | | | - Hein Heidbuchel
- Antwerp University and University Hospital, Antwerp, Belgium
| | - Yufeng Hu
- Taipei Veterans General Hospital, Taipei, Taiwan
| | | | | | | | | | | | | | | | - Alex Page
- University of Rochester, Rochester, NY, USA
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Andrea M Russo
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - David Slotwiner
- Cardiology Division, NewYork-Presbyterian Queens, and School of Health, Policy and Research, Weill Cornell Medicine, New York, NY, USA
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Digital technology to support self-management in patients with coronary disease. LANCET DIGITAL HEALTH 2019; 1:e50-e51. [PMID: 33323228 DOI: 10.1016/s2589-7500(19)30029-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 05/02/2019] [Indexed: 11/23/2022]
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