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Sridhar AR, Cheung JW, Lampert R, Silva JNA, Gopinathannair R, Sotomonte JC, Tarakji K, Fellman M, Chrispin J, Varma N, Kabra R, Mehta N, Al-Khatib SM, Mayfield JJ, Navara R, Rajagopalan B, Passman R, Fleureau Y, Shah MJ, Turakhia M, Lakkireddy D. State of the art of mobile health technologies use in clinical arrhythmia care. COMMUNICATIONS MEDICINE 2024; 4:218. [PMID: 39472742 PMCID: PMC11522556 DOI: 10.1038/s43856-024-00618-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 09/19/2024] [Indexed: 11/02/2024] Open
Abstract
The rapid growth in consumer-facing mobile and sensor technologies has created tremendous opportunities for patient-driven personalized health management. The diagnosis and management of cardiac arrhythmias are particularly well suited to benefit from these easily accessible consumer health technologies. In particular, smartphone-based and wrist-worn wearable electrocardiogram (ECG) and photoplethysmography (PPG) technology can facilitate relatively inexpensive, long-term rhythm monitoring. Here we review the practical utility of the currently available and emerging mobile health technologies relevant to cardiac arrhythmia care. We discuss the applications of these tools, which vary with respect to diagnostic performance, target populations, and indications. We also highlight that requirements for successful integration into clinical practice require adaptations to regulatory approval, data management, electronic medical record integration, quality oversight, and efforts to minimize the additional burden to health care professionals.
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Affiliation(s)
- Arun R Sridhar
- Cardiac Electrophysiology, Pulse Heart Institute, Multicare Health System, Tacoma, Washington, USA.
| | - Jim W Cheung
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Rachel Lampert
- Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Jennifer N A Silva
- Washington University School of Medicine/St. Louis Children's Hospital, St. Louis, MO, USA
| | | | - Juan C Sotomonte
- Cardiovascular Center of Puerto Rico/University of Puerto Rico, San Juan, PR, USA
| | | | | | - Jonathan Chrispin
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Niraj Varma
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Rajesh Kabra
- Kansas City Heart Rhythm Institute, Overland Park, KS, USA
| | - Nishaki Mehta
- William Beaumont Oakland University School of Medicine, Rochester, MI, USA
| | - Sana M Al-Khatib
- Division of Cardiology, Duke University Medical Center, Durham, England
| | - Jacob J Mayfield
- Presbyterian Heart Group, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
| | - Rachita Navara
- Division of Cardiology, University of California at San Francisco, San Francisco, CA, USA
| | | | - Rod Passman
- Division of Cardiology, Northwestern University School of Medicine, Chicago, IL, USA
| | | | - Maully J Shah
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mintu Turakhia
- Center for Digital Health, Stanford University Stanford, Stanford, CA, USA
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Scholte NTB, van Ravensberg AE, Shakoor A, Boersma E, Ronner E, de Boer RA, Brugts JJ, Bruining N, van der Boon RMA. A scoping review on advancements in noninvasive wearable technology for heart failure management. NPJ Digit Med 2024; 7:279. [PMID: 39396094 PMCID: PMC11470936 DOI: 10.1038/s41746-024-01268-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 09/23/2024] [Indexed: 10/14/2024] Open
Abstract
Wearables offer a promising solution for enhancing remote monitoring (RM) of heart failure (HF) patients by tracking key physiological parameters. Despite their potential, their clinical integration faces challenges due to the lack of rigorous evaluations. This review aims to summarize the current evidence and assess the readiness of wearables for clinical practice using the Medical Device Readiness Level (MDRL). A systematic search identified 99 studies from 3112 found articles, with only eight being randomized controlled trials. Accelerometery was the most used measurement technique. Consumer-grade wearables, repurposed for HF monitoring, dominated the studies with most of them in the feasibility testing stage (MDRL 6). Only two of the described wearables were specifically designed for HF RM, and received FDA approval. Consequently, the actual impact of wearables on HF management remains uncertain due to limited robust evidence, posing a significant barrier to their integration into HF care.
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Affiliation(s)
- Niels T B Scholte
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands.
| | - Annemiek E van Ravensberg
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
| | - Abdul Shakoor
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
| | - Eric Boersma
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
| | - Eelko Ronner
- Department of Cardiology, Reinier de Graaf Hospital, Delft, the Netherlands
| | - Rudolf A de Boer
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
| | - Jasper J Brugts
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
| | - Nico Bruining
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
| | - Robert M A van der Boon
- Erasmus Medical Center, Thorax Center, Department of Cardiology, Cardiovascular Institute, Rotterdam, the Netherlands
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Suresh Kumar S, Connolly P, Maier A. Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review. J Med Internet Res 2024; 26:e54405. [PMID: 39365991 PMCID: PMC11489804 DOI: 10.2196/54405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 06/03/2024] [Accepted: 07/24/2024] [Indexed: 10/06/2024] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is a leading chronic cardiac disease associated with an increased risk of stroke, cardiac complications, and general mortality. Mobile health (mHealth) interventions, including wearable devices and apps, can aid in the detection, screening, and management of AF to improve patient outcomes. The inclusion of approaches that consider user experiences and behavior in the design of health care interventions can increase the usability of mHealth interventions, and hence, hopefully, yield an increase in positive outcomes in the lives of users. OBJECTIVE This study aims to show how research has considered user experiences and behavioral approaches in designing mHealth interventions for AF detection, screening, and management; the phases of designing complex interventions from the UK Medical Research Council (MRC) were referenced: namely, identification, development, feasibility, evaluation, and implementation. METHODS Studies published until September 7, 2022, that examined user experiences and behavioral approaches associated with mHealth interventions in the context of AF were extracted from multiple databases. The PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines were used. RESULTS A total of 2219 records were extracted, with only 55 records reporting on usability, user experiences, or behavioral approaches more widely for designing mHealth interventions in the context of AF. When mapping the studies onto the phases of the UK MRC's guidance for developing and evaluating complex interventions, the following was found: in the identification phase, there were significant differences between the needs of patients and health care workers. In the development phase, user perspectives guided the iterative development of apps, interfaces, and intervention protocols in 4 studies. Most studies (43/55, 78%) assessed the usability of interventions in the feasibility phase as an outcome, although the data collection tools were not designed together with users and stakeholders. Studies that examined the evaluation and implementation phase entailed reporting on challenges in user participation, acceptance, and workflows that could not be captured by studies in the previous phases. To realize the envisaged human behavior intended through treatment, review results highlight the scant inclusion of behavior change approaches for mHealth interventions across multiple levels of sociotechnical health care systems. While interventions at the level of the individual (micro) and the level of communities (meso) were found in the studies reviewed, no studies were found intervening at societal levels (macro). Studies also failed to consider the temporal variation of user goals and feedback in the design of long-term behavioral interventions. CONCLUSIONS In this systematic review, we proposed 2 contributions: first, mapping studies to different phases of the MRC framework for developing and evaluating complex interventions, and second, mapping behavioral approaches to different levels of health care systems. Finally, we discuss the wider implications of our results in guiding future mHealth research.
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Affiliation(s)
- Sagar Suresh Kumar
- Department of Design, Manufacturing and Engineering Management (DMEM), University of Strathclyde, Glasgow, United Kingdom
| | - Patricia Connolly
- Department of Biomedical Engineering, University of Strathclyde, Glasgow, United Kingdom
| | - Anja Maier
- Department of Design, Manufacturing and Engineering Management (DMEM), University of Strathclyde, Glasgow, United Kingdom
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Simonson JK, Anderson M, Polacek C, Klump E, Haque SN. Characterizing Real-World Implementation of Consumer Wearables for the Detection of Undiagnosed Atrial Fibrillation in Clinical Practice: Targeted Literature Review. JMIR Cardio 2023; 7:e47292. [PMID: 37921865 PMCID: PMC10656655 DOI: 10.2196/47292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Atrial fibrillation (AF), the most common cardiac arrhythmia, is often undiagnosed because of lack of awareness and frequent asymptomatic presentation. As AF is associated with increased risk of stroke, early detection is clinically relevant. Several consumer wearable devices (CWDs) have been cleared by the US Food and Drug Administration for irregular heart rhythm detection suggestive of AF. However, recommendations for the use of CWDs for AF detection in clinical practice, especially with regard to pathways for workflows and clinical decisions, remain lacking. OBJECTIVE We conducted a targeted literature review to identify articles on CWDs characterizing the current state of wearable technology for AF detection, identifying approaches to implementing CWDs into the clinical workflow, and characterizing provider and patient perspectives on CWDs for patients at risk of AF. METHODS PubMed, ClinicalTrials.gov, UpToDate Clinical Reference, and DynaMed were searched for articles in English published between January 2016 and July 2023. The searches used predefined Medical Subject Headings (MeSH) terms, keywords, and search strings. Articles of interest were specifically on CWDs; articles on ambulatory monitoring tools, tools available by prescription, or handheld devices were excluded. Search results were reviewed for relevancy and discussed among the authors for inclusion. A qualitative analysis was conducted and themes relevant to our study objectives were identified. RESULTS A total of 31 articles met inclusion criteria: 7 (23%) medical society reports or guidelines, 4 (13%) general reviews, 5 (16%) systematic reviews, 5 (16%) health care provider surveys, 7 (23%) consumer or patient surveys or interviews, and 3 (10%) analytical reports. Despite recognition of CWDs by medical societies, detailed guidelines regarding CWDs for AF detection were limited, as was the availability of clinical tools. A main theme was the lack of pragmatic studies assessing real-world implementation of CWDs for AF detection. Clinicians expressed concerns about data overload; potential for false positives; reimbursement issues; and the need for clinical tools such as care pathways and guidelines, preferably developed or endorsed by professional organizations. Patient-facing challenges included device costs and variability in digital literacy or technology acceptance. CONCLUSIONS This targeted literature review highlights the lack of a comprehensive body of literature guiding real-world implementation of CWDs for AF detection and provides insights for informing additional research and developing appropriate tools and resources for incorporating these devices into clinical practice. The results should also provide an impetus for the active involvement of medical societies and other health care stakeholders in developing appropriate tools and resources for guiding the real-world use of CWDs for AF detection. These resources should target clinicians, patients, and health care systems with the goal of facilitating clinician or patient engagement and using an evidence-based approach for establishing guidelines or frameworks for administrative workflows and patient care pathways.
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Lawin D, von Jan U, Pustozerov E, Lawrenz T, Stellbrink C, Albrecht UV. Evaluation of a semiautomated App Store analysis for the identification of health apps for cardiac arrhythmias. Herzschrittmacherther Elektrophysiol 2023; 34:218-225. [PMID: 37380893 PMCID: PMC10462560 DOI: 10.1007/s00399-023-00947-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND Smartphone apps are increasingly utilised by patients and physicians for medical purposes. Thus, numerous applications are provided on the App Store platforms. OBJECTIVES The aim of the study was to establish a novel, expanded approach of a semiautomated retrospective App Store analysis (SARASA) to identify and characterise health apps in the context of cardiac arrhythmias. MATERIALS AND METHODS An automated total read-out of the "Medical" category of Apple's German App Store was performed in December 2022 by analysing the developer-provided descriptions and other metadata using a semiautomated multilevel approach. Search terms were defined, based on which the textual information of the total extraction results was automatically filtered. RESULTS A total of 435 of 31,564 apps were identified in the context of cardiac arrhythmias. Of those, 81.4% were found to deal with education, decision support, or disease management, and 26.2% (additionally) provided the opportunity to derive information on heart rhythm. The apps were intended for healthcare professionals in 55.9%, students in 17.5%, and/or patients in 15.9%. In 31.5%, the target population was not specified in the description texts. In all, 108 apps (24.8%) provided a telemedicine treatment approach; 83.7% of the description texts did not reveal any information on medical product status; 8.3% of the apps indicated that they have and 8.0% that they do not have medical product status. CONCLUSION Through the supplemented SARASA method, health apps in the context of cardiac arrhythmias could be identified and assigned to the target categories. Clinicians and patients have a wide choice of apps, although the app description texts do not provide sufficient information about the intended use and quality.
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Affiliation(s)
- Dennis Lawin
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany.
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Bielefeld, Germany.
| | - Ute von Jan
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany
| | - Evgenii Pustozerov
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany
| | - Thorsten Lawrenz
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Bielefeld, Germany
| | - Christoph Stellbrink
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Bielefeld, Germany
| | - Urs-Vito Albrecht
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany
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Svennberg E, Caiani EG, Bruining N, Desteghe L, Han JK, Narayan SM, Rademakers FE, Sanders P, Duncker D. The digital journey: 25 years of digital development in electrophysiology from an Europace perspective. Europace 2023; 25:euad176. [PMID: 37622574 PMCID: PMC10450797 DOI: 10.1093/europace/euad176] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 08/26/2023] Open
Abstract
AIMS Over the past 25 years there has been a substantial development in the field of digital electrophysiology (EP) and in parallel a substantial increase in publications on digital cardiology.In this celebratory paper, we provide an overview of the digital field by highlighting publications from the field focusing on the EP Europace journal. RESULTS In this journey across the past quarter of a century we follow the development of digital tools commonly used in the clinic spanning from the initiation of digital clinics through the early days of telemonitoring, to wearables, mobile applications, and the use of fully virtual clinics. We then provide a chronicle of the field of artificial intelligence, a regulatory perspective, and at the end of our journey provide a future outlook for digital EP. CONCLUSION Over the past 25 years Europace has published a substantial number of papers on digital EP, with a marked expansion in digital publications in recent years.
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Affiliation(s)
- Emma Svennberg
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, SE-141 86 Stockholm, Sweden
| | - Enrico G Caiani
- Politecnico di Milano, Electronic, Information and Biomedical Engineering Department, Milan, Italy
- Istituto Auxologico Italiano IRCCS, Milan, Italy
| | - Nico Bruining
- Department of Clinical and Experimental Information processing (Digital Cardiology), Erasmus Medical Center, Thoraxcenter, Rotterdam, The Netherlands
| | - Lien Desteghe
- Research Group Cardiovascular Diseases, University of Antwerp, 2000 Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, 2056 Edegem, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, 3500 Hasselt, Belgium
| | - Janet K Han
- Division of Cardiology, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA
- Cardiac Arrhythmia Center, University of California Los Angeles, Los Angeles, CA, USA
| | - Sanjiv M Narayan
- Cardiology Division, Cardiovascular Institute and Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 5005 Adelaide, Australia
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
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Demkowicz PC, Dhruva SS, Spatz ES, Beatty AL, Ross JS, Khera R. Physician responses to apple watch-detected irregular rhythm alerts. Am Heart J 2023; 262:29-37. [PMID: 37084933 PMCID: PMC10988207 DOI: 10.1016/j.ahj.2023.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND While the US Food and Drug Administration (FDA) has cleared smartwatch software for detecting atrial fibrillation (AF), there is lack of guidance on management by physicians. We sought to evaluate the approach to management of Apple Watch alerts for AF by physicians and assess whether respondent and case characteristics were associated with their approach. METHODS We conducted a case-based survey of physicians practicing primary care, emergency medicine, and cardiology at 2 large academic centers (Yale and University of California San Francisco) between September and December 2021. Cases described asymptomatic patients receiving Apple Watch AF alerts; cases varied in sex, race, medical history, and notification frequency. We evaluated physician responses among prespecified diagnostic testing, referral, and treatment options. RESULTS We emailed 636 physicians, of whom 95 (14.9%) completed the survey, including 39 primary care, 25 emergency medicine, and 31 cardiology physicians. Among a total of 192 cases (16 unique scenarios), physicians selected at least one diagnostic test in 191 (99.5%) cases and medications in 48 (25.0%). Physicians in primary care, emergency medicine, and cardiology reported varying preference for patient referral (14%, 30%, and 16%, respectively; P=.048), rhythm monitoring (84%, 46%, and 94%, respectively; P<.001), measurement of BNP (8%, 20%, and 2%; P=.003), and use of antiarrhythmics (16%, 4%, and 23%; P=.023). There were few physician differences in reported practices across patient demographics (sex and race), clinical complexity, and alert frequency of the clinical case. CONCLUSIONS In hypothetical cases of patients presenting without clinical symptoms, physicians opted for further diagnostic testing and often to medical intervention based on Apple Watch irregular rhythm notifications. There was also considerable variation across physician specialties, suggesting a need for uniform clinical practice guidelines. Additional study is required before irregular rhythm notifications should be used in clinical settings.
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Affiliation(s)
- Patrick C Demkowicz
- Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Section of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT
| | - Sanket S Dhruva
- Division of Cardiology, Department of Medicine, University of California San Francisco (UCSF), San Francisco, CA
| | - Erica S Spatz
- Section of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT
| | - Alexis L Beatty
- Division of Cardiology, Department of Medicine, University of California San Francisco (UCSF), San Francisco, CA; Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA
| | - Joseph S Ross
- Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT
| | - Rohan Khera
- Section of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT.
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Hoffmann W, Lowe A, Wilson M, Kuo MMY. Investigation of Non-contact Electrodes for Electrocardiogram Monitoring. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083209 DOI: 10.1109/embc40787.2023.10340699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
This work investigates the use of an active noncontact electrode to monitor electrocardiogram (ECG) signals in the chest region of the human body across different interface materials. Non-contact electrodes provide an advantage over wet gel electrodes as they do not require direct contact with the skin which can lead to skin irritation. The key aspects and parameters of non-contact electrodes were discussed. Additionally, a printed circuit board (PCB) electrode was designed and prototyped. Experimental evaluations were performed to demonstrate the feasibility of the design as well as the impact of various interface materials. Results showed that R-peaks can be detected through all materials tested. The highest noise levels were observed in polyester, resulting in the highest signal standard deviation, followed by merino and cotton. The patch sensor with just a solder mask as an insulation layer provided the clearest ECG signal, with 100% accuracy on Rpeak detection.Clinical relevance- Non-contact electrodes offer a more comfortable solution for long-term heart monitoring with minimal discomfort due to less skin irritation when compared to conventional electrodes.
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Szczęsna A, Augustyn D, Harężlak K, Josiński H, Świtoński A, Kasprowski P. Datasets for learning of unknown characteristics of dynamical systems. Sci Data 2023; 10:79. [PMID: 36750577 PMCID: PMC9905521 DOI: 10.1038/s41597-023-01978-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/19/2023] [Indexed: 02/09/2023] Open
Abstract
The ability to uncover characteristics based on empirical measurement is an important step in understanding the underlying system that gives rise to an observed time series. This is especially important for biological signals whose characteristic contributes to the underlying dynamics of the physiological processes. Therefore, by studying such signals, the physiological systems that generate them can be better understood. The datasets presented consist of 33,000 time series of 15 dynamical systems (five chaotic and ten non-chaotic) of the first, second, or third order. Here, the order of a dynamical system means its dimension. The non-chaotic systems were divided into the following classes: periodic, quasi-periodic, and non-periodic. The aim is to propose datasets for machine learning methods, in particular deep learning techniques, to analyze unknown dynamical system characteristics based on obtained time series. In technical validation, three classifications experiments were conducted using two types of neural networks with long short-term memory modules and convolutional layers.
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Affiliation(s)
- Agnieszka Szczęsna
- Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100, Gliwice, Akademicka 16, Poland.
| | - Dariusz Augustyn
- Department of Applied Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100, Gliwice, Akademicka 16, Poland
| | - Katarzyna Harężlak
- Department of Applied Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100, Gliwice, Akademicka 16, Poland
| | - Henryk Josiński
- Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100, Gliwice, Akademicka 16, Poland
| | - Adam Świtoński
- Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100, Gliwice, Akademicka 16, Poland
| | - Paweł Kasprowski
- Department of Applied Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100, Gliwice, Akademicka 16, Poland
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Scholten J, Jansen WPJ, Horsthuis T, Mahes AD, Winter MM, Zwinderman AH, Keijer JT, Minneboo M, de Groot JR, Bokma JP. Six-lead device superior to single-lead smartwatch ECG in atrial fibrillation detection. Am Heart J 2022; 253:53-58. [PMID: 35850242 DOI: 10.1016/j.ahj.2022.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
This was a head-to-head comparative study on different electrocardiogram (ECG)-based smartwatches and devices for atrial fibrillation detection. We prospectively included 220 patients scheduled for electrical cardioversion and recorded ECGs with 3 different devices (Withings Move ECG, Apple Watch 5, Kardia Mobile 6-leads) as well as the standard 12-lead ECG (gold standard), both before and after cardioversion. All atrial fibrillation detection algorithms had high accuracy (sensitivity and specificity: 91-99%) but were hampered by uninterpretable recordings (20-24%). In cardiologists' interpretation, the 6-lead device was superior (sensitivity 99%, specificity 97%) to both single-lead smartwatches (P < .05) for atrial fibrillation detection.
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Affiliation(s)
- Josca Scholten
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands; Location Academic Medical Center, Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, North Holland 1105 AZ, the Netherlands
| | - Ward P J Jansen
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands
| | - Thomas Horsthuis
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands
| | - Anuska D Mahes
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands
| | - Michiel M Winter
- Location Academic Medical Center, Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, North Holland 1105 AZ, the Netherlands
| | - Aeilko H Zwinderman
- Location Academic Medical Center, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Center, Amsterdam, North Holland, the Netherlands
| | - Jan T Keijer
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands
| | - Madelon Minneboo
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands; Location Academic Medical Center, Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, North Holland 1105 AZ, the Netherlands
| | - Joris R de Groot
- Location Academic Medical Center, Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, North Holland 1105 AZ, the Netherlands
| | - Jouke P Bokma
- Department of Cardiology, Tergooi Hospital, Blaricum, North Holland, the Netherlands; Location Academic Medical Center, Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, North Holland 1105 AZ, the Netherlands.
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Boriani G, Svennberg E, Guerra F, Linz D, Casado-Arroyo R, Malaczynska-Rajpold K, Duncker D, Boveda S, Merino JL, Leclercq C. Reimbursement practices for use of digital devices in atrial fibrillation and other arrhythmias: a European Heart Rhythm Association survey. Europace 2022; 24:1834-1843. [PMID: 36040858 DOI: 10.1093/europace/euac142] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/22/2022] [Indexed: 12/31/2022] Open
Abstract
AIMS Since digital devices are increasingly used in cardiology for assessing cardiac rhythm and detecting arrhythmias, especially atrial fibrillation (AF), our aim was to evaluate the expectations and opinions of healthcare professionals in Europe on reimbursement policies for the use of digital devices (including wearables) in AF and other arrhythmias. METHODS AND RESULTS An anonymous survey was proposed through announcements on the European Heart Rhythm Association website, social media channels, and mail newsletter. Two hundred and seventeen healthcare professionals participated in the survey: 32.7%, reported regular use of digital devices, 45.2% reported that they sometimes use these tools, 18.6% that they do not use but would like to. Only a minority (3.5%) reported a lack of trust in digital devices. The survey highlighted a general propensity to provide medical consultation for suspected AF or other arrhythmias detected by a consumer-initiated use of digital devices, even if time constraints and reimbursement availability emerged as important elements. More than 85% of respondents agreed that reimbursement should be applied for clinical use of digital devices, also in different settings such as post-stroke, post-cardioversion, post-ablation, and in patients with palpitations or syncope. Finally, 73.6% of respondents confirmed a lack of reimbursement fees in their country for physicians' consultations (tracings interpretation) related to digital devices. CONCLUSIONS Digital devices, including wearables, are increasingly and widely used for assessing cardiac rhythm and detecting AF, but a definition of reimbursement policies for physicians' consultations is needed.
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Affiliation(s)
- Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, 41124 Modena, Italy.,EHRA mHEALTH and Health Economics Section, European Heart Rhythm Association, Biot 06903, France
| | - Emma Svennberg
- Karolinska Institutet, Department of Medicine, Karolinska University Hospital Huddinge, 141 57 Huddinge, Stockholm, Sweden
| | - Federico Guerra
- Cardiology and Arrhythmology Clinic, University Hospital 'Lancisi-Umberto I- Salesi', 60126 Ancona, Italy.,Department of Biomedical Sciences and Public Health, Marche Polytechnic University, 60126 Ancona, Italy
| | - Dominik Linz
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Ruben Casado-Arroyo
- Department of Cardiology, Erasme Hospital, Université Libre de Bruxelles, 1070 Bruxelles, Belgium
| | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, 30625 Hannover, Germany
| | - Serge Boveda
- Cardiology-Heart Rhythm Management Department, Clinique Pasteur, 31076 Toulouse, France.,Vrije Universiteit Brussel (VUB), 1050 Brussels, Belgium
| | - Josè Luis Merino
- Arrhythmia & Robotic EP Unit, University Hospital La Paz, Autonoma University, IdiPaz, 28029 Madrid, Spain
| | - Christophe Leclercq
- Department of Cardiology, University Hospital of Rennes, 35033 Rennes cedex 9, France
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12
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Svennberg E, Tjong F, Goette A, Akoum N, Di Biase L, Bordachar P, Boriani G, Burri H, Conte G, Deharo JC, Deneke T, Drossart I, Duncker D, Han JK, Heidbuchel H, Jais P, de Oliviera Figueiredo MJ, Linz D, Lip GYH, Malaczynska-Rajpold K, Márquez M, Ploem C, Soejima K, Stiles MK, Wierda E, Vernooy K, Leclercq C, Meyer C, Pisani C, Pak HN, Gupta D, Pürerfellner H, Crijns HJGM, Chavez EA, Willems S, Waldmann V, Dekker L, Wan E, Kavoor P, Turagam MK, Sinner M. How to use digital devices to detect and manage arrhythmias: an EHRA practical guide. Europace 2022; 24:979-1005. [PMID: 35368065 DOI: 10.1093/europace/euac038] [Citation(s) in RCA: 120] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Emma Svennberg
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Fleur Tjong
- Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Andreas Goette
- St. Vincenz Hospital Paderborn, Paderborn, Germany
- MAESTRIA Consortium/AFNET, Münster, Germany
| | - Nazem Akoum
- Heart Institute, University of Washington School of Medicine, Seattle, WA, USA
| | - Luigi Di Biase
- Albert Einstein College of Medicine at Montefiore Hospital, New York, NY, USA
| | | | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Haran Burri
- Cardiology Department, University Hospital of Geneva, Geneva, Switzerland
| | - Giulio Conte
- Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Jean Claude Deharo
- Assistance Publique-Hôpitaux de Marseille, Centre Hospitalier Universitaire La Timone, Service de Cardiologie, Marseille, France
- Aix Marseille Université, C2VN, Marseille, France
| | - Thomas Deneke
- Heart Center Bad Neustadt, Bad Neustadt an der Saale, Germany
| | - Inga Drossart
- European Society of Cardiology, Sophia Antipolis, France
- ESC Patient Forum, Sophia Antipolis, France
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Janet K Han
- Cardiac Arrhythmia Centers, Veterans Affairs Greater Los Angeles Healthcare System and University of California, Los Angeles, CA, USA
| | - Hein Heidbuchel
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
- Cardiovascular Research Group, Antwerp University, Antwerp, Belgium
| | - Pierre Jais
- Bordeaux University Hospital, Bordeaux, France
| | | | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Manlio Márquez
- Department of Electrocardiology, Instituto Nacional de Cardiología, Mexico City, Mexico
| | - Corrette Ploem
- Department of Ethics, Law and Medical Humanities, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Kyoko Soejima
- Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Martin K Stiles
- Waikato Clinical School, University of Auckland, Hamilton, New Zealand
| | - Eric Wierda
- Department of Cardiology, Dijklander Hospital, Hoorn, the Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | | | - Christian Meyer
- Division of Cardiology/Angiology/Intensive Care, EVK Düsseldorf, Teaching Hospital University of Düsseldorf, Düsseldorf, Germany
| | - Cristiano Pisani
- Arrhythmia Unit, Heart Institute, InCor, University of São Paulo Medical School, São Paulo, Brazil
| | - Hui Nam Pak
- Yonsei University, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea
| | - Dhiraj Gupta
- Faculty of Health and Life Sciences, Liverpool Heart and Chest Hospital, University of Liverpool, Liverpool, UK
| | | | - H J G M Crijns
- Em. Professor of Cardiology, University of Maastricht, Maastricht, Netherlands
| | - Edgar Antezana Chavez
- Division of Cardiology, Hospital General de Agudos Dr. Cosme Argerich, Pi y Margall 750, C1155AHB Buenos Aires, Argentina
- Division of Cardiology, Hospital Belga, Antezana 455, C0000 Cochabamba, Bolivia
| | | | - Victor Waldmann
- Electrophysiology Unit, European Georges Pompidou Hospital, Paris, France
- Adult Congenital Heart Disease Unit, European Georges Pompidou Hospital, Paris, France
| | - Lukas Dekker
- Catharina Ziekenhuis Eindhoven, Eindhoven, Netherlands
| | - Elaine Wan
- Cardiology and Cardiac Electrophysiology, Columbia University, New York, NY, USA
| | - Pramesh Kavoor
- Cardiology Department, Westmead Hospital, Westmead, New South Wales, Australia
| | | | - Moritz Sinner
- Univ. Hospital Munich, Campus Grosshadern, Munich, Germany
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13
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Vinatzer H, Rzepka A, Hayn D, Ziegl A, Schreier G. Investigation of the time shift between wearable photoplethysmography sensors used for continuous heart rate monitoring. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:4308-4311. [PMID: 36086137 DOI: 10.1109/embc48229.2022.9871629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this study, we investigated the effect of time shift in heartrate measurement by wearables, which might to be used in telehealth applications for patients suffering from heart failure. Six wearables commercially available on the market were tested in a 14-hour measurement. Each wearable was tested three times by five different test persons. A reference sensor was used to test the accuracy of the wearables. We found that different types of time shifts are common in the sensors we tested: time shifts of full days, time shifts of full hours (most probably due to incorrect or unspecified time zones) and time shifts in the range of seconds to minutes (most likely stemming from averaging, data transmission, etc.). We conclude that time shifts of all manufacturers need to be corrected prior comparison of a photoplethysmography signal with other signals. However, even after correction of the time shift, the reliability of the sensors seems to be too low for application in telehealth settings. Clinical relevance- This study shows that signals from state-of-the-art wearable photoplethysmography heart rate measurements show significant time shifts and marked differences even if time shifts were corrected. This limits their utility for clinical applications.
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14
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Hillmann HAK, Soltani S, Mueller-Leisse J, Hohmann S, Duncker D. Cardiac Rhythm Monitoring Using Wearables for Clinical Guidance before and after Catheter Ablation. J Clin Med 2022; 11:2428. [PMID: 35566556 PMCID: PMC9100087 DOI: 10.3390/jcm11092428] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/19/2022] [Accepted: 04/23/2022] [Indexed: 12/02/2022] Open
Abstract
Mobile health technologies are gaining importance in clinical decision-making. With the capability to monitor the patient's heart rhythm, they have the potential to reduce the time to confirm a diagnosis and therefore are useful in patients eligible for screening of atrial fibrillation as well as in patients with symptoms without documented symptom rhythm correlation. Such is crucial to enable an adequate arrhythmia management including the possibility of a catheter ablation. After ablation, wearables can help to search for recurrences, in symptomatic as well as in asymptomatic patients. Furthermore, those devices can be used to search for concomitant arrhythmias and have the potential to help improving the short- and long-term patient management. The type of wearable as well as the adequate technology has to be chosen carefully for every situation and every individual patient, keeping different aspects in mind. This review aims to describe and to elaborate a potential workflow for the role of wearables for cardiac rhythm monitoring regarding detection and management of arrhythmias before and after cardiac electrophysiological procedures.
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Affiliation(s)
| | | | | | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, 30625 Hannover, Germany; (H.A.K.H.); (S.S.); (J.M.-L.); (S.H.)
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15
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Charlton PH, Kyriacou PA, Mant J, Marozas V, Chowienczyk P, Alastruey J. Wearable Photoplethysmography for Cardiovascular Monitoring. PROCEEDINGS OF THE IEEE. INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS 2022; 110:355-381. [PMID: 35356509 PMCID: PMC7612541 DOI: 10.1109/jproc.2022.3149785] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 01/06/2022] [Accepted: 01/27/2022] [Indexed: 05/29/2023]
Abstract
Smart wearables provide an opportunity to monitor health in daily life and are emerging as potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands and smartwatches routinely monitor the photoplethysmogram signal, an optical measure of the arterial pulse wave that is strongly influenced by the heart and blood vessels. In this survey, we summarize the fundamentals of wearable photoplethysmography and its analysis, identify its potential clinical applications, and outline pressing directions for future research in order to realize its full potential for tackling CVD.
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Affiliation(s)
- Peter H. Charlton
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing’s College London, King’s Health PartnersLondonSE1 7EUU.K.
- Research Centre for Biomedical Engineering, CityUniversity of LondonLondonEC1V 0HBU.K.
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeCB1 8RNU.K.
| | - Panicos A. Kyriacou
- Research Centre for Biomedical Engineering, CityUniversity of LondonLondonEC1V 0HBU.K.
| | - Jonathan Mant
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeCB1 8RNU.K.
| | - Vaidotas Marozas
- Department of Electronics Engineering and the Biomedical Engineering Institute, Kaunas University of Technology44249KaunasLithuania
| | - Phil Chowienczyk
- Department of Clinical PharmacologyKing’s College LondonLondonSE1 7EHU.K.
| | - Jordi Alastruey
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing’s College London, King’s Health PartnersLondonSE1 7EUU.K.
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16
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Jeong HK. Supraventricular Tachycardia Detected by Smart Watch. Chonnam Med J 2022; 58:59-60. [PMID: 35169565 PMCID: PMC8813655 DOI: 10.4068/cmj.2022.58.1.59] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 11/24/2022] Open
Affiliation(s)
- Hyung Ki Jeong
- Division of Cardiology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Korea
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17
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Applicability of a Novel Wearable Wireless Electrocardiogram Monitoring Device (Spyder) for Arrhythmia Detection in Patients with Suspected Cardiac Arrhythmias. Cardiol Res Pract 2021; 2021:8496351. [PMID: 34868676 PMCID: PMC8642027 DOI: 10.1155/2021/8496351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 10/22/2021] [Accepted: 11/09/2021] [Indexed: 12/02/2022] Open
Abstract
Introduction In clinical practice, many cardiovascular symptoms can be caused by arrhythmias that are not detected by electrocardiography (ECG) or 24–48 h Holter ECG monitoring. Aims To describe the efficacy and applicability of a new device (Spyder) in detecting cardiac arrhythmias with midterm ECG monitoring. Methods A descriptive, prospective study was performed on 26 consecutive patients who underwent midterm ECG monitoring with the novel ECG patch device (Spyder). The study was conducted over a 6-month period from August 2020 to February 2021. Results Twenty-six patients (mean age, 57.8 ± 12.5 years; men, 77%) wearing a Spyder wireless ECG-monitoring device were recruited. The mean wearing time was 84 hours. The main indications for using the device were detection of recurrent atrial fibrillation after radiofrequency ablation (30.7%) and screening for atrial fibrillation after cryptogenic stroke (23.1%). All ECG monitor recordings obtained during the study period were of good quality. The device detected 12 episodes of atrial fibrillation in eight patients, one episode of ventricular tachycardia, one supraventricular tachycardia event, one case of paroxysmal third-degree atrioventricular block, and five cases of frequent premature ventricular contraction. The time to detection of the first episodes of atrial fibrillation and ventricular and supraventricular tachycardia was 28.8 and 47 hours, respectively. Conclusions The new wearable wireless ECG-monitoring device (Spyder) is a feasible and effective method for the detection of cardiac arrhythmias.
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18
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Gruwez H, Evens S, Proesmans T, Duncker D, Linz D, Heidbuchel H, Manninger M, Vandervoort P, Haemers P, Pison L. Accuracy of Physicians Interpreting Photoplethysmography and Electrocardiography Tracings to Detect Atrial Fibrillation: INTERPRET-AF. Front Cardiovasc Med 2021; 8:734737. [PMID: 34616786 PMCID: PMC8488290 DOI: 10.3389/fcvm.2021.734737] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 08/23/2021] [Indexed: 11/25/2022] Open
Abstract
Aims: This study aims to compare the performance of physicians to detect atrial fibrillation (AF) based on photoplethysmography (PPG), single-lead ECG and 12-lead ECG, and to explore the incremental value of PPG presentation as a tachogram and Poincaré plot, and of algorithm classification for interpretation by physicians. Methods and Results: Email invitations to participate in an online survey were distributed among physicians to analyse almost simultaneously recorded PPG, single-lead ECG and 12-lead ECG traces from 30 patients (10 in sinus rhythm (SR), 10 in SR with ectopic beats and 10 in AF). The task was to classify the readings as 'SR', 'ectopic/missed beats', 'AF', 'flutter' or 'unreadable'. Sixty-five physicians detected or excluded AF based on the raw PPG waveforms with 88.8% sensitivity and 86.3% specificity. Additional presentation of the tachogram plus Poincaré plot significantly increased sensitivity and specificity to 95.5% (P < 0.001) and 92.5% (P < 0.001), respectively. The algorithm information did not further increase the accuracy to detect AF (sensitivity 97.5%, P = 0.556; specificity 95.0%, P = 0.182). Physicians detected AF on single-lead ECG tracings with 91.2% sensitivity and 93.9% specificity. Diagnostic accuracy was also not optimal on full 12-lead ECGs (93.9 and 98.6%, respectively). Notably, there was no significant difference between the performance of PPG waveform plus tachogram and Poincaré, compared to a single-lead ECG to detect or exclude AF (sensitivity P = 0.672; specificity P = 0.536). Conclusion: Physicians can detect AF on a PPG output with equivalent accuracy compared to single-lead ECG, if the PPG waveforms are presented together with a tachogram and Poincaré plot and the quality of the recordings is high.
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Affiliation(s)
- Henri Gruwez
- Department of Cardiology, Hospital East-Limburg, Genk, Belgium
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
- Doctoral School of Medicine and Life Science, Hasselt University, Hasselt, Belgium
| | | | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hanover, Germany
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Hein Heidbuchel
- Department of Cardiology, Antwerp University Hospital and Antwerp University, Antwerp, Belgium
| | - Martin Manninger
- Department of Cardiology, Medical University of Graz, Graz, Austria
| | | | - Peter Haemers
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Laurent Pison
- Department of Cardiology, Hospital East-Limburg, Genk, Belgium
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19
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van der Velden RMJ, Verhaert DVM, Hermans ANL, Duncker D, Manninger M, Betz K, Gawalko M, Desteghe L, Pisters R, Hemels M, Pison L, Sohaib A, Sultan A, Steven D, Wijtvliet P, Gupta D, Svennberg E, Luermans JCLM, Chaldoupi M, Vernooy K, den Uijl D, Lodzinski P, Jansen WPJ, Eckstein J, Bollmann A, Vandervoort P, Crijns HJGM, Tieleman R, Heidbuchel H, Pluymaekers NAHA, Hendriks JM, Linz D. The photoplethysmography dictionary: practical guidance on signal interpretation and clinical scenarios from TeleCheck-AF. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2021; 2:363-373. [PMID: 36713592 PMCID: PMC9707923 DOI: 10.1093/ehjdh/ztab050] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/26/2021] [Accepted: 06/03/2021] [Indexed: 02/01/2023]
Abstract
Aims Within the TeleCheck-AF project, numerous centres in Europe used on-demand photoplethysmography (PPG) technology to remotely assess heart rate and rhythm in conjunction with teleconsultations. Based on the TeleCheck-AF investigator experiences, we aimed to develop an educational structured stepwise practical guide on how to interpret PPG signals and to introduce typical clinical scenarios how on-demand PPG was used. Methods and results During an online conference, the structured stepwise practical guide on how to interpret PPG signals was discussed and further refined during an internal review process. We provide the number of respective PPG recordings (FibriCheck®) and number of patients managed within a clinical scenario during the TeleCheck-AF project. To interpret PPG recordings, we introduce a structured stepwise practical guide and provide representative PPG recordings. In the TeleCheck-AF project, 2522 subjects collected 90 616 recordings in total. The majority of these recordings were classified by the PPG algorithm as sinus rhythm (57.6%), followed by AF (23.6%). In 9.7% of recordings, the quality was too low to interpret. The most frequent clinical scenarios where PPG technology was used in the TeleCheck-AF project was a follow-up after AF ablation (1110 patients) followed by heart rate and rhythm assessment around (tele)consultation (966 patients). Conclusion We introduce a newly developed structured stepwise practical guide on PPG signal interpretation developed based on presented experiences from TeleCheck-AF. The present clinical scenarios for the use of on-demand PPG technology derived from the TeleCheck-AF project will help to implement PPG technology in the management of AF patients.
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Affiliation(s)
- Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Dominique V M Verhaert
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - David Duncker
- Department of Cardiology and Angiology, Hannover Heart Rhythm Center, Hannover Medical School, Hannover, Germany
| | - Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Lien Desteghe
- Heart Center Hasselt, Jessa Hospital, Hasselt, Belgium
- Department of Cardiology, Antwerp University Hospital and Antwerp University, Antwerp, Belgium
| | - Ron Pisters
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Martin Hemels
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Laurent Pison
- Department of Cardiology, Hospital East Limburg, Genk, Belgium
| | - Afzal Sohaib
- Department of Cardiology, St Bartholomew’s Hospital, Bart’s Health NHS Trust, London, UK
- Department of Cardiology, King George Hospital, London, UK
| | - Arian Sultan
- Department of Electrophysiology, Heart Center, University Hospital Cologne, Cologne, Germany
| | - Daniel Steven
- Department of Electrophysiology, Heart Center, University Hospital Cologne, Cologne, Germany
| | - Petra Wijtvliet
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Cardiology, Martini Ziekenhuis, Groningen, The Netherlands
| | - Dhiraj Gupta
- Department of Cardiology, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Emma Svennberg
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Justin C L M Luermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Marisevi Chaldoupi
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Dennis den Uijl
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Piotr Lodzinski
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Ward P J Jansen
- Department of Cardiology, Tergooi Hospital, Hilversum, the Netherlands
| | - Jens Eckstein
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Andreas Bollmann
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | | | - Harry J G M Crijns
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Robert Tieleman
- Department of Cardiology, Martini Ziekenhuis, Groningen, The Netherlands
| | - Hein Heidbuchel
- Department of Cardiology, Antwerp University Hospital and Antwerp University, Antwerp, Belgium
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Jeroen M Hendriks
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
- Faculty of Health and Medical Sciences, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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20
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Manninger M, Zweiker D, Svennberg E, Chatzikyriakou S, Pavlovic N, Zaman JAB, Kircanski B, Lenarczyk R, Vanduynhoven P, Kosiuk J, Potpara T, Duncker D. Current perspectives on wearable rhythm recordings for clinical decision-making: the wEHRAbles 2 survey. Europace 2021; 23:1106-1113. [PMID: 33842972 DOI: 10.1093/europace/euab064] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/02/2021] [Indexed: 01/11/2023] Open
Abstract
Novel wearable devices for heart rhythm analysis using either photoplethysmography (PPG) or electrocardiogram (ECG) are in daily clinical practice. This survey aimed to assess impact of these technologies on physicians' clinical decision-making and to define, how data from these devices should be presented and integrated into clinical practice. The online survey included 22 questions, focusing on the diagnosis of atrial fibrillation (AF) based on wearable rhythm device recordings, suitable indications for wearable rhythm devices, data presentation and processing, reimbursement, and future perspectives. A total of 539 respondents {median age 38 [interquartile range (IQR) 34-46] years, 29% female} from 51 countries world-wide completed the survey. Whilst most respondents would diagnose AF (83%), fewer would initiate oral anticoagulation therapy based on a single-lead ECG tracing. Significantly fewer still (27%) would make the diagnosis based on PPG-based tracing. Wearable ECG technology is acceptable for the majority of respondents for screening, diagnostics, monitoring, and follow-up of arrhythmia patients, while respondents were more reluctant to use PPG technology for these indications. Most respondents (74%) would advocate systematic screening for AF using wearable rhythm devices, starting at patients' median age of 60 (IQR 50-65) years. Thirty-six percent of respondents stated that there is no reimbursement for diagnostics involving wearable rhythm devices in their countries. Most respondents (56.4%) believe that costs of wearable rhythm devices should be shared between patients and insurances. Wearable single- or multiple-lead ECG technology is accepted for multiple indications in current clinical practice and triggers AF diagnosis and treatment. The unmet needs that call for action are reimbursement plans and integration of wearable rhythm device data into patient's files and hospital information systems.
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Affiliation(s)
- Martin Manninger
- Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria
| | - David Zweiker
- Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria.,3rd Medical Department for Cardiology and Intensive Care, Klinik Ottakring, Vienna, Austria
| | - Emma Svennberg
- Department of Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | | | - Nikola Pavlovic
- University Hospital Center Sestre Milosrdnice, Zagreb, Croatia
| | - Junaid A B Zaman
- Royal Brompton Hospital, London, UK.,University of Southern California, Los Angeles, CA, USA
| | | | - Radoslaw Lenarczyk
- Department of Cardiology, Congenital Heart Defects and Electrotherapy, Medical University of Silesia, Silesian Centre for Heart Disease, Zabrze, Poland
| | | | | | - Tatjana Potpara
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia.,Department for Intensive Care in Cardiac Arrhythmias, Cardiology Clinic, Clinical Centre of Serbia, Belgrade, Serbia
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625 Hannover, Germany
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21
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Gawałko M, Duncker D, Manninger M, van der Velden RMJ, Hermans ANL, Verhaert DVM, Pison L, Pisters R, Hemels M, Sultan A, Steven D, Gupta D, Heidbuchel H, Sohaib A, Wijtvliet P, Tieleman R, Gruwez H, Chun J, Schmidt B, Keaney JJ, Müller P, Lodziński P, Svennberg E, Hoekstra O, Jansen WPJ, Desteghe L, de Potter T, Tomlinson DR, Neubeck L, Crijns HJGM, Pluymaekers NAHA, Hendriks JM, Linz D. The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: centre and patient experiences. Europace 2021; 23:1003-1015. [PMID: 33822029 PMCID: PMC8083545 DOI: 10.1093/europace/euab050] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 02/19/2021] [Indexed: 01/10/2023] Open
Abstract
Aims TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhythm monitoring app (FibriCheck®). We describe the characteristics, inclusion rates, and experiences from participating centres according the TeleCheck-AF infrastructure as well as characteristics and experiences from recruited patients. Methods and results Three surveys exploring centre characteristics (n = 25), centre experiences (n = 23), and patient experiences (n = 826) were completed. Self-reported patient characteristics were obtained from the app. Most centres were academic (64%) and specialized public cardiology/district hospitals (36%). Majority of the centres had AF outpatient clinics (64%) and only 36% had AF ablation clinics. The time required to start patient inclusion and total number of included patients in the project was comparable for centres experienced (56%) or inexperienced in mHealth use. Within 28 weeks, 1930 AF patients were recruited, mainly for remote AF control (31% of patients) and AF ablation follow-up (42%). Average inclusion rate was highest during the lockdown restrictions and reached a steady state at a lower level after easing the restrictions (188 vs. 52 weekly recruited patients). Majority (>80%) of the centres reported no problems during the implementation of the TeleCheck-AF approach. Recruited patients [median age 64 (55–71), 62% male] agreed that the FibriCheck® app was easy to use (94%). Conclusion Despite different health care settings and mobile health experiences, the TeleCheck-AF approach could be set up within an extremely short time and easily used in different European centres during COVID-19.
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Affiliation(s)
- Monika Gawałko
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands.,1st Department of Cardiology, Doctoral School, Medical University of Warsaw, Warsaw, Poland
| | - David Duncker
- Department of Cardiology and Angiology, Hannover Heart Rhythm Center, Hannover Medical School, Hannover, Germany
| | - Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | | | | | - Ron Pisters
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Martin Hemels
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Arian Sultan
- Department of Electrophysiology, University of Cologne, Heart Centre, Cologne, Germany
| | - Daniel Steven
- Department of Electrophysiology, University of Cologne, Heart Centre, Cologne, Germany
| | - Dhiraj Gupta
- Department of Cardiology, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Hein Heidbuchel
- Antwerp University and University Hospital, Antwerp, Belgium
| | | | - Petra Wijtvliet
- Department of Cardiology, Martini Hospital, Groningen, The Netherlands
| | - Robert Tieleman
- Department of Cardiology, Martini Hospital, Groningen, The Netherlands
| | | | - Julian Chun
- Cardioangiologisches Centrum Bethanien, Frankfurt, Germany
| | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Frankfurt, Germany
| | - John J Keaney
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Patrick Müller
- Department of Cardiology II-Electrophysiology, University Hospital of Münster, Münster, Germany
| | - Piotr Lodziński
- 1st Department of Cardiology, Doctoral School, Medical University of Warsaw, Warsaw, Poland
| | - Emma Svennberg
- Department of Clinical Sciences, Karolinska Institutet, Danderyd's University Hospital, Stockholm, Sweden.,Deptartment of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | | | | | - Lien Desteghe
- Antwerp University Hospital and Antwerp University, Antwerp, Belgium.,Hasselt University and Jessa Hospital, Hasselt, Belgium
| | - Tom de Potter
- Cardiovascular Center, Onze Lieve Vrouwziekenhuis, Aalst, Belgium
| | | | - Lis Neubeck
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Harry J G M Crijns
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | - Jeroen M Hendriks
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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22
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Roxburgh T, Li A, Guenancia C, Pernollet P, Bouleti C, Alos B, Gras M, Kerforne T, Frasca D, Le Gal F, Christiaens L, Degand B, Garcia R. Virtual Reality for Sedation During Atrial Fibrillation Ablation in Clinical Practice: Observational Study. J Med Internet Res 2021; 23:e26349. [PMID: 34042589 PMCID: PMC8193475 DOI: 10.2196/26349] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 03/23/2021] [Accepted: 05/04/2021] [Indexed: 01/02/2023] Open
Abstract
Background Connected devices are dramatically changing many aspects in health care. One such device, the virtual reality (VR) headset, has recently been shown to improve analgesia in a small sample of patients undergoing transcatheter aortic valve implantation. Objective We aimed to investigate the feasibility and effectiveness of VR in patients undergoing atrial fibrillation (AF) ablation under conscious sedation. Methods All patients who underwent an AF ablation with VR from March to May 2020 were included. Patients were compared to a consecutive cohort of patients who underwent AF ablation in the 3 months prior to the study. Primary efficacy was assessed by using a visual analog scale, summarizing the overall pain experienced during the ablation. Results The AF cryoablation procedure with VR was performed for 48 patients (mean age 63.0, SD 10.9 years; n=16, 33.3% females). No patient refused to use the device, although 14.6% (n=7) terminated the VR session prematurely. Preparation of the VR headset took on average 78 (SD 13) seconds. Compared to the control group, the mean perceived pain, assessed with the visual analog scale, was lower in the VR group (3.5 [SD 1.5] vs 4.3 [SD 1.6]; P=.004), and comfort was higher in the VR group (7.5 [SD 1.6] vs 6.8 [SD 1.7]; P=.03). On the other hand, morphine consumption was not different between the groups. Lastly, complications, as well as procedure and fluoroscopy duration, were not different between the two groups. Conclusions We found that VR was associated with a reduction in the perception of pain in patients undergoing AF ablation under conscious sedation. Our findings demonstrate that VR can be easily incorporated into the standard ablation workflow.
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Affiliation(s)
- Thomas Roxburgh
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Anthony Li
- Cardiology Clinical Academic Group, St George's, University of London, London, United Kingdom
| | | | - Patrice Pernollet
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Claire Bouleti
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Benjamin Alos
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Matthieu Gras
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Thomas Kerforne
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Denis Frasca
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - François Le Gal
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Luc Christiaens
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Bruno Degand
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
| | - Rodrigue Garcia
- Department of Anesthesia and Critical Care, University Hospital of Poitiers, Poitiers, France
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23
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Prospective blinded evaluation of smartphone-based ECG for differentiation of supraventricular tachycardia from inappropriate sinus tachycardia. Clin Res Cardiol 2021; 110:905-912. [PMID: 33961097 PMCID: PMC8103426 DOI: 10.1007/s00392-021-01856-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 04/12/2021] [Indexed: 11/26/2022]
Abstract
Introduction Supraventricular tachycardias (SVT) are often difficult to document due to their intermittent, short-lasting nature. Smartphone-based one-lead ECG monitors (sECG) were initially developed for the diagnosis of atrial fibrillation. No data have been published regarding their potential role in differentiating inappropiate sinus tachycardia (IST) from regular SVT. If cardiologists could distinguish IST from SVT in sECG, economic health care burden might be significantly reduced.
Methods We prospectively recruited 75 consecutive patients with known SVT undergoing an EP study. In all patients, four ECG were recorded: a sECG during SVT and during sinus tachycardia and respective 12-lead ECG. Two experienced electrophysiologists were blinded to the diagnoses and separately evaluated all ECG. Results Three hundred individual ECG were recorded in 75 patients (47 female, age 50 ± 18 years, BMI 26 ± 5 kg/m2, 60 AVNRT, 15 AVRT). The electrophysiologists’ blinded interpretation of sECG recordings showed a sensitivity of 89% and a specificity of 91% for the detection of SVT (interobserver agreement κ = 0.76). In high-quality sECG recordings (68%), sensitivity rose to 95% with a specificity of 92% (interobserver agreement of κ = 0.91). Specificity increased to 96% when both electrophysiologists agreed on the diagnosis. Respective 12-lead ECG had a sensitivity of 100% and specificity of 98% for the detection of SVT. Conclusion A smartphone-based one-lead ECG monitor allows for differentiation of SVT from IST in about 90% of cases. These results should encourage cardiologists to integrate wearables into clinical practice, possibly reducing time to definitive diagnosis of an arrhythmia and unnecessary EP procedures. Graphical abstract A smartphone-based one lead ECG device (panel A) can be used reliably to differentiate supraventricular tachycardia (panel B) from inappropriate sinus tachycardia when compared to a simultaneously conducted gold-standard electrophysiology study (panels C, D).![]()
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24
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Duncker D, Ding WY, Etheridge S, Noseworthy PA, Veltmann C, Yao X, Bunch TJ, Gupta D. Smart Wearables for Cardiac Monitoring-Real-World Use beyond Atrial Fibrillation. SENSORS (BASEL, SWITZERLAND) 2021; 21:2539. [PMID: 33916371 PMCID: PMC8038592 DOI: 10.3390/s21072539] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/29/2021] [Accepted: 03/30/2021] [Indexed: 01/17/2023]
Abstract
The possibilities and implementation of wearable cardiac monitoring beyond atrial fibrillation are increasing continuously. This review focuses on the real-world use and evolution of these devices for other arrhythmias, cardiovascular diseases and some of their risk factors beyond atrial fibrillation. The management of nonatrial fibrillation arrhythmias represents a broad field of wearable technologies in cardiology using Holter, event recorder, electrocardiogram (ECG) patches, wristbands and textiles. Implementation in other patient cohorts, such as ST-elevation myocardial infarction (STEMI), heart failure or sleep apnea, is feasible and expanding. In addition to appropriate accuracy, clinical studies must address the validation of clinical pathways including the appropriate device and clinical decisions resulting from the surrogate assessed.
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Affiliation(s)
- David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, 30625 Hannover, Germany;
| | - Wern Yew Ding
- Liverpool Centre for Cardiovascular Science, Liverpool Heart and Chest Hospital, University of Liverpool, Liverpool L1 8JX, UK; (W.Y.D.); (D.G.)
| | - Susan Etheridge
- Department of Pediatrics, University of Utah, Salt Lake City, UT 84108, USA;
| | - Peter A. Noseworthy
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55902, USA; (P.A.N.); (X.Y.)
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Christian Veltmann
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, 30625 Hannover, Germany;
| | - Xiaoxi Yao
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55902, USA; (P.A.N.); (X.Y.)
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - T. Jared Bunch
- Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84108, USA;
| | - Dhiraj Gupta
- Liverpool Centre for Cardiovascular Science, Liverpool Heart and Chest Hospital, University of Liverpool, Liverpool L1 8JX, UK; (W.Y.D.); (D.G.)
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25
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Luo K, Liu X, Li J, Ma Y, Ye Q, Bai J, Liang C, Zou F. Redundant Gaussian dictionary in compressed sensing for ambulatory photoplethysmography monitoring. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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26
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Jensen MT, Treskes RW, Caiani EG, Casado-Arroyo R, Cowie MR, Dilaveris P, Duncker D, Di Rienzo M, Frederix I, De Groot N, Kolh PH, Kemps H, Mamas M, McGreavy P, Neubeck L, Parati G, Platonov PG, Schmidt-Trucksäss A, Schuuring MJ, Simova I, Svennberg E, Verstrael A, Lumens J. ESC working group on e-cardiology position paper: use of commercially available wearable technology for heart rate and activity tracking in primary and secondary cardiovascular prevention-in collaboration with the European Heart Rhythm Association, European Association of Preventive Cardiology, Association of Cardiovascular Nursing and Allied Professionals, Patient Forum, and the Digital Health Committee. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2021; 2:49-59. [PMID: 36711174 PMCID: PMC9753086 DOI: 10.1093/ehjdh/ztab011] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/11/2021] [Accepted: 02/04/2021] [Indexed: 02/01/2023]
Abstract
Commercially available health technologies such as smartphones and smartwatches, activity trackers and eHealth applications, commonly referred to as wearables, are increasingly available and used both in the leisure and healthcare sector for pulse and fitness/activity tracking. The aim of the Position Paper is to identify specific barriers and knowledge gaps for the use of wearables, in particular for heart rate (HR) and activity tracking, in clinical cardiovascular healthcare to support their implementation into clinical care. The widespread use of HR and fitness tracking technologies provides unparalleled opportunities for capturing physiological information from large populations in the community, which has previously only been available in patient populations in the setting of healthcare provision. The availability of low-cost and high-volume physiological data from the community also provides unique challenges. While the number of patients meeting healthcare providers with data from wearables is rapidly growing, there are at present no clinical guidelines on how and when to use data from wearables in primary and secondary prevention. Technical aspects of HR tracking especially during activity need to be further validated. How to analyse, translate, and interpret large datasets of information into clinically applicable recommendations needs further consideration. While the current users of wearable technologies tend to be young, healthy and in the higher sociodemographic strata, wearables could potentially have a greater utility in the elderly and higher-risk population. Wearables may also provide a benefit through increased health awareness, democratization of health data and patient engagement. Use of continuous monitoring may provide opportunities for detection of risk factors and disease development earlier in the causal pathway, which may provide novel applications in both prevention and clinical research. However, wearables may also have potential adverse consequences due to unintended modification of behaviour, uncertain use and interpretation of large physiological data, a possible increase in social inequality due to differential access and technological literacy, challenges with regulatory bodies and privacy issues. In the present position paper, current applications as well as specific barriers and gaps in knowledge are identified and discussed in order to support the implementation of wearable technologies from gadget-ology into clinical cardiology.
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Affiliation(s)
- Magnus T Jensen
- Department of Cardiology, Copenhagen University Hospital Amager & Hvidovre, Kettegaard Alle 30, 2650 Hvidovre, Denmark
| | - Roderick W Treskes
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Enrico G Caiani
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Via Ponzio 34/5, 20133 Milan, Italy
- National Council of Research, Institute of Electronics, Information and Telecomunication Engineering, Milan, Italy
| | - Ruben Casado-Arroyo
- Department of Cardiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik 808, 1070 Brussels, Belgium
| | - Martin R Cowie
- Department of Cardiology, Royal Bromptom Hospital, Sydney St, Chelsea, London SW3 6NP, UK
| | - Polychronis Dilaveris
- Department of Cardiology, Hippokration Hospital, 114 Vas. Sofias avenue, 11527, Athens, Greece
| | - David Duncker
- Department of Cardiology and Angiology, Hannover Heart Rhythm Center, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany
| | - Marco Di Rienzo
- Department of Biomedical Technology, IRCCS Fondazione Don Carlo Gnocchi, 20121 Milano, Italy
| | - Ines Frederix
- Department of Cardiology, Jessa Hospital, Salvatorstraat 20, 3500 Hasselt, Belgium
- Department of Cardiology, Antwerp University Hospital, Drie Eikenstraat 655, 2650 Edegm, Belgium
- Faculty of Medicine & Life Sciences, Hasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium
- Faculty of Medicine & Health Sciences, Antwerp University, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 WILRIJK, Antwerp, Belgium
| | - Natasja De Groot
- Department of Cardiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Philippe H Kolh
- Department of Cardiovascular Surgery, University Hospital Liege, Quai Paul van Hoegaerden 2, 4000 Liege, Belgium
| | - Hareld Kemps
- Department of Cardiology, Maxima Medical Centre, Dominee Theodor Fliednerstraat 1, 5631 BM Eindhoven, The Netherlands
- Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Mamas Mamas
- Academic Department of Cardiology, Royal Stoke Hospital, University Hospital North Midlands, Newcastle Rd, Stoke-on-Trent ST4 6QG, UK
| | - Paul McGreavy
- ESC Patient’s Platform, European Society of Cardiology, Sophia Antipolis Cedex, France
| | - Lis Neubeck
- School of Health and Social Care, Edinburgh Napier University, 9 Sighthill Ct, Edinburgh EH11 4BN, UK
| | - Gianfranco Parati
- Department of Medicine and Surgery, University of Milano-Bicocca & Istituto Auxologico Italiano, IRCCS, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy
- Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, Piazzale Brescia 20, Milano, Italy
| | - Pyotr G Platonov
- Department of Cardiology, Clinical Sciences, Lund University Hosptial, EA-blocket, 221 85 Lund, Sweden
| | - Arno Schmidt-Trucksäss
- Department of Sport, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052 Basel, Switzerland
| | - Mark J Schuuring
- Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Iana Simova
- Cardiology Clinic, Heart and Brain—University Hospital, One, G. M. Dimitrov Blvd. Sofia 1172, Pleven, Bulgaria
| | - Emma Svennberg
- Department of Cardiology, Karolinska University Hospital, Anna Steckséns gata 41, 171 64 Solna, Stockholm, Sweden
- Department of Clinical Sciences Danderyd University Hospital, 171 77 Stockholm, Sweden
| | - Axel Verstrael
- ESC Patient’s Platform, European Society of Cardiology, Sophia Antipolis Cedex, France
| | - Joost Lumens
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Duboisdomein 30, 6229 GT Maastricht, the Netherlands
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Weng W, Blanchard C, Reed JL, Matheson K, McIntyre C, Gray C, Sapp JL, Gardner M, AbdelWahab A, Yung J, Parkash R. A virtual platform to deliver ambulatory care for patients with atrial fibrillation. CARDIOVASCULAR DIGITAL HEALTH JOURNAL 2021; 2:63-70. [PMID: 35265891 PMCID: PMC8890105 DOI: 10.1016/j.cvdhj.2020.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background There are little data on the use of virtual care for patients with arrhythmia. We evaluated a virtual clinic platform, in conjunction with specialist care, for patients with symptomatic atrial fibrillation (AF). Methods This was a prospective, observational cohort study evaluating an online educational and treatment platform, with a randomized sub-study examining the use of an ambulatory single-lead electrocardiogram heart monitor (AHM). Follow-up was 6 months. The main outcome was patients’ platform use; success was defined as 90% of patients using the platform at least once, and 75% using it at least twice. The primary outcome in the AHM sub-study was Atrial Fibrillation Symptom Severity (AFSS) score. Other outcomes included patient satisfaction questionnaires, quality of life, emergency department visits, and hospitalizations for AF. Results We enrolled 94 patients between July 2018 and May 2019; 83% of patients logged in at least once and 54.3% more than once. Patients who were older, were male, or had new-onset AF were more likely to log in to the platform. Satisfaction scores were high; 70%–94% of patients responded favorably. Quality-of-life scores improved at 3 and 6 months. In the AHM sub-study (n = 71), those who received an AHM had lower AFSS scores (least square mean difference -2.52, 95% CI -4.48 to -0.25, P = .03). There was no difference in emergency department visits or hospitalizations. Conclusion The online platform did not reach our feasibility target but was well received. Allocation of an AHM was associated with improved quality of life. Virtual AF care shows promise and should be evaluated in further research.
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28
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Kim NH, Ko JS. Introduction of Wearable Device in Cardiovascular Field for Monitoring Arrhythmia. Chonnam Med J 2021; 57:1-6. [PMID: 33537213 PMCID: PMC7840341 DOI: 10.4068/cmj.2021.57.1.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/05/2021] [Accepted: 01/06/2021] [Indexed: 11/15/2022] Open
Abstract
There has been increasing adoption of wearable smart devices in health care field and they enable non-invasive continuous monitoring of various cardiac parameters. Lots of studies have demonstrated that ambulatory monitoring devices were able to provide data for reliable diagnostics for arrhythmia. Distinguishing features of wearables such as ubiquitous continuous monitoring make it a convincing alternative to traditional diagnostic devices. Additionally, this revolutionary technology does not only enhance the diagnostic utility of wearable devices, but has also facilitated remote health care using IOT (internet of things) capability. In this review, the authors aim to present the state of current technologic development of smart wearables for detection of arrhythmia and comment on future perspectives with reviewing recent studies focused on clinical utility.
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Affiliation(s)
- Nam Ho Kim
- Division of Cardiology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Korea
| | - Jum Suk Ko
- Division of Cardiology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Korea
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Hermans ANL, van der Velden RMJ, Gawalko M, Verhaert DVM, Desteghe L, Duncker D, Manninger M, Heidbuchel H, Pisters R, Hemels M, Pison L, Sohaib A, Sultan A, Steven D, Wijtvliet P, Tieleman R, Gupta D, Dobrev D, Svennberg E, Crijns HJGM, Pluymaekers NAHA, Hendriks JM, Linz D. On-demand mobile health infrastructures to allow comprehensive remote atrial fibrillation and risk factor management through teleconsultation. Clin Cardiol 2020; 43:1232-1239. [PMID: 33030259 PMCID: PMC7661648 DOI: 10.1002/clc.23469] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 09/15/2020] [Accepted: 09/17/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Although novel teleconsultation solutions can deliver remote situations that are relatively similar to face-to-face interaction, remote assessment of heart rate and rhythm as well as risk factors remains challenging in patients with atrial fibrillation (AF). HYPOTHESIS Mobile health (mHealth) solutions can support remote AF management. METHODS Herein, we discuss available mHealth tools and strategies on how to incorporate the remote assessment of heart rate, rhythm and risk factors to allow comprehensive AF management through teleconsultation. RESULTS Particularly, in the light of the coronavirus disease 2019 (COVID-19) pandemic, there is decreased capacity to see patients in the outpatient clinic and mHealth has become an important component of many AF outpatient clinics. Several validated mHealth solutions are available for remote heart rate and rhythm monitoring as well as for risk factor assessment. mHealth technologies can be used for (semi-)continuous longitudinal monitoring or for short-term on-demand monitoring, dependent on the respective requirements and clinical scenarios. As a possible solution to improve remote AF care through teleconsultation, we introduce the on-demand TeleCheck-AF mHealth approach that allows remote app-based assessment of heart rate and rhythm around teleconsultations, which has been developed and implemented during the COVID-19 pandemic in Europe. CONCLUSION Large scale international mHealth projects, such as TeleCheck-AF, will provide insight into the additional value and potential limitations of mHealth strategies to remotely manage AF patients. Such mHealth infrastructures may be well suited within an integrated AF-clinic, which may require redesign of practice and reform of health care systems.
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Affiliation(s)
| | | | - Monika Gawalko
- Department of CardiologyMaastricht University Medical Centre and Cardiovascular Research Institute MaastrichtMaastrichtThe Netherlands
| | - Dominique V. M. Verhaert
- Department of CardiologyMaastricht University Medical Centre and Cardiovascular Research Institute MaastrichtMaastrichtThe Netherlands
- Department of CardiologyRadboud University Medical CentreNijmegenThe Netherlands
| | - Lien Desteghe
- Faculty of Medicine and Life SciencesHasselt UniversityHasseltBelgium
- Heart Center HasseltJessa HospitalHasseltBelgium
- Department of CardiologyAntwerp University Hospital and Antwerp UniversityAntwerpBelgium
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and AngiologyHannover Medical SchoolHannoverGermany
| | - Martin Manninger
- Department of CardiologyMedizinische Universität GrazGrazAustria
| | - Hein Heidbuchel
- Department of CardiologyAntwerp University Hospital and Antwerp UniversityAntwerpBelgium
| | - Ron Pisters
- Department of CardiologyRijnstate HospitalArnhemThe Netherlands
| | - Martin Hemels
- Department of CardiologyRadboud University Medical CentreNijmegenThe Netherlands
- Department of CardiologyRijnstate HospitalArnhemThe Netherlands
| | - Laurent Pison
- Department of CardiologyHospital East LimburgGenkBelgium
| | - Afzal Sohaib
- Department of CardiologySt Bartholomew's Hospital, Bart's Health NHS TrustLondonUK
- Department of CardiologyKing George HospitalLondonUK
| | - Arian Sultan
- Department of Electrophysiology, Heart CenterUniversity Hospital CologneCologneGermany
| | - Daniel Steven
- Department of Electrophysiology, Heart CenterUniversity Hospital CologneCologneGermany
| | - Petra Wijtvliet
- Department of CardiologyMartini HospitalGroningenThe Netherlands
| | - Robert Tieleman
- Department of CardiologyMartini HospitalGroningenThe Netherlands
| | - Dhiraj Gupta
- Department of CardiologyLiverpool Heart and Chest HospitalLiverpoolUK
| | - Dobromir Dobrev
- Institute of Pharmacology, West German Heart and Vascular CentreUniversity Duisburg‐EssenEssenGermany
| | - Emma Svennberg
- Department of Clinical Sciences, Division of Cardiovascular MedicineKarolinska Institutet and Karolinska University HospitalStockholmSweden
| | - Harry J. G. M. Crijns
- Department of CardiologyMaastricht University Medical Centre and Cardiovascular Research Institute MaastrichtMaastrichtThe Netherlands
| | - Nikki A. H. A. Pluymaekers
- Department of CardiologyMaastricht University Medical Centre and Cardiovascular Research Institute MaastrichtMaastrichtThe Netherlands
| | - Jeroen M. Hendriks
- Centre for Heart Rhythm DisordersUniversity of Adelaide and Royal Adelaide HospitalAdelaideAustralia
- College of Nursing and Health SciencesFlinders UniversityAdelaideAustralia
| | - Dominik Linz
- Department of CardiologyMaastricht University Medical Centre and Cardiovascular Research Institute MaastrichtMaastrichtThe Netherlands
- Department of CardiologyRadboud University Medical CentreNijmegenThe Netherlands
- Centre for Heart Rhythm DisordersUniversity of Adelaide and Royal Adelaide HospitalAdelaideAustralia
- Department of Biomedical Sciences, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
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30
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Manninger M, Kosiuk J, Zweiker D, Njeim M, Antolic B, Kircanski B, Larsen JM, Svennberg E, Vanduynhoven P, Duncker D. Role of wearable rhythm recordings in clinical decision making-The wEHRAbles project. Clin Cardiol 2020; 43:1032-1039. [PMID: 32700414 PMCID: PMC7462183 DOI: 10.1002/clc.23404] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/20/2020] [Accepted: 05/26/2020] [Indexed: 12/13/2022] Open
Abstract
Background Multiple wearable devices for rhythm analysis have been developed using either photoplethysmography (PPG) or handheld ECG. Hypothesis The aim of this survey was to assess impact of these technologies on physicians' clinical decision‐making regarding initiation of diagnostic steps, drug therapy, and invasive strategies. Methods The online survey included 10 questions on types of devices, advantages, and disadvantages of wearable devices as well as case scenarios for patients with supraventricular arrhythmias and atrial fibrillation (AF). Results A total of 417 physicians (median age 37 [IQR 32‐43] years) from 42 countries world‐wide completed the survey. When presented a tracing of a regular tachycardia by a symptomatic patient, most participants would trigger further diagnostic steps (90% for single‐lead ECG vs 83% for PPG, P < .001), while a single‐lead ECG would be sufficient to perform an invasive EP study in approximately half of participants (51% vs 22% for PPG, P < .001). When presented with a single‐lead ECG tracing suggesting AF, most participants (90%) would trigger further diagnostic steps. A symptomatic AF patient would trigger anticoagulation treatment to a higher extent as an asymptomatic patient (59% vs 21%, P < .001). PPG tracings would only rarely lead to therapeutic steps regardless of symptoms. Most participants would like scientific society recommendations on the use of wearable devices (62%). Conclusions Tracings from wearable rhythm devices suggestive of arrhythmias are most likely to trigger further diagnostic steps, and in the case of PPG recordings rarely therapeutic interventions. A majority of participants expect these devices to facilitate diagnostics and arrhythmia screening but fear data overload and expect scientific society recommendations on the use of wearables.
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Affiliation(s)
- Martin Manninger
- Division of Cardiology, Department of Medicine, Medical University of Graz, Austria
| | | | - David Zweiker
- Division of Cardiology, Department of Medicine, Medical University of Graz, Austria.,Wilhelminenhospital, 3rd Medical Department for Cardiology and Intensive Care, Vienna, Austria
| | - Mario Njeim
- Division of Cardiology, Hotel Dieu de France Hospital, Saint Joseph University, Beirut, Lebanon
| | - Bor Antolic
- University Medical Centre Ljubljana, Department of Cardiology, Ljubljana, Slovenia
| | | | - Jacob M Larsen
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Emma Svennberg
- Department of Cardiology, Karolinska Institutet, Karolinska Hospital, Stockholm, Sweden
| | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
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31
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Ding EY, Svennberg E, Wurster C, Duncker D, Manninger M, Lubitz SA, Dickson E, Fitzgibbons TP, Akoum N, Al-Khatib SM, Attia ZI, Ghanbari H, Marrouche NF, Mendenhall GS, Peters NS, Tarakji KG, Turakhia M, Wan EY, McManus DD. Survey of current perspectives on consumer-available digital health devices for detecting atrial fibrillation. CARDIOVASCULAR DIGITAL HEALTH JOURNAL 2020; 1:21-29. [PMID: 32924024 PMCID: PMC7452829 DOI: 10.1016/j.cvdhj.2020.06.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Many digital health technologies capable of atrial fibrillation (AF) detection are directly available to patients. However, adaptation into clinical practice by heart rhythm healthcare practitioners (HCPs) is unclear. OBJECTIVE To examine HCP perspectives on use of commercial technologies for AF detection and management. METHODS We created an electronic survey for HCPs assessing practice demographics and perspectives on digital devices for AF detection and management. The survey was distributed electronically to all members of 3 heart rhythm professional societies. RESULTS We received 1601 responses out of 73,563 e-mails sent, with 43.6% from cardiac electrophysiologists, 12.8% from fellows, and 11.6% from advanced practice practitioners. Most respondents (62.3%) reported having recommended patient use of a digital device for AF detection. Those who did not had concerns about their accuracy (29.6%), clinical utility of results (22.8%), and integration into electronic health records (19.8%). Results from a 30-second single-lead electrocardiogram were sufficient for 42.7% of HCPs to recommend oral anticoagulation for patients at high risk for stroke. Respondents wanted more data comparing the accuracy of digital devices to conventional devices for AF monitoring (64.9%). A quarter (27.3%) of HCPs had no reservations recommending digital devices for AF detection, and most (53.4%) wanted guidelines from their professional societies providing guidance on their optimal use. CONCLUSION Many HCPs have already integrated digital devices into their clinical practice. However, HCPs reported facing challenges when using digital technologies for AF detection, and professional society recommendations on their use are needed.
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Affiliation(s)
- Eric Y. Ding
- Division of Cardiology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Emma Svennberg
- Department of Clinical Sciences, Danderyd Hospital, Danderyd, Sweden
- Department of Cardiology, Karolinska Hospital, Solna, Sweden
| | | | - David Duncker
- Rhythmology and Electrophysiology, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Martin Manninger
- Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria
| | - Steven A. Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Emily Dickson
- Division of Cardiology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Timothy P. Fitzgibbons
- Division of Cardiology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Nazem Akoum
- Atrial Fibrillation Program, University of Washington, Seattle, Washington
| | - Sana M. Al-Khatib
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Zachi I. Attia
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Hamid Ghanbari
- Division of Cardiology, Department of Medicine, University of Michigan, Ann Arbor, Michigan
| | - Nassir F. Marrouche
- Cardiac Electrophysiology Division, Tulane University School of Medicine, New Orleans, Louisiana
| | - G. Stuart Mendenhall
- Department of Clinical Cardiac Electrophysiology, Scripps Memorial Hospital, La Jolla, California
| | - Nicholas S. Peters
- National Heart and Lung Institute & Centre for Cardiac Engineering, Imperial College London & NHS Trust, London, United Kingdom
| | | | - Mintu Turakhia
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California
| | - Elaine Y. Wan
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - David D. McManus
- Division of Cardiology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts
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