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Yalin K, Soysal AU, Ikitimur B, Yabaci BI, Onder SE, Atici A, Tokdil H, Incesu G, Yalman H, Cimci M, Karpuz H. Diagnostic accuracy of Apple Watch Series 6 recorded single-lead ECGs for identifying supraventricular tachyarrhythmias: a comparative analysis with invasive electrophysiological study. J Interv Card Electrophysiol 2024; 67:1145-1151. [PMID: 37985539 DOI: 10.1007/s10840-023-01695-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND The advancements in wearable technology have made the detection of arrhythmias more accessible. While smartwatches are commonly used to detect patients with atrial fibrillation, their effectiveness in the differential diagnosis of supraventricular tachycardias (SVT) lacks consensus. METHODS A study was conducted on 47 patients with documented SVTs on a 12-lead ECG. All patients in the cohort underwent electrophysiology study with induction of SVT. A 6th generation Apple Watch was used to record ECG tracings during baseline sinus rhythm and during induced SVT. Cardiology residents and attending cardiologists evaluated these recordings to diagnose the differential diagnosis of SVT. RESULTS The evaluation revealed 27 cases of typical atrioventricular nodal reentrant tachycardia (AVNRT), 11 cases of atrioventricular reentrant tachycardia (AVRT), and 9 cases of atrial tachycardia/atrial flutter (AT/AFL) among the induced tachycardias. Attending physicians achieved an accuracy of 66.0 to 76.6%, and residents demonstrated accuracy rates between 68.1 and 74.5%. Interrater reliability was assessed using Fleiss's Kappa method, resulting in a moderate level of agreement between residents (Kappa = 0.465, p < 0.001, 95% CI 0.30-0.63) and attendings (Kappa = 0.519, p < 0.001, 95% CI 0.35-0.68). The overall Kappa value was 0.417 (p < 0.001, 95% CI 0.34-0.49). CONCLUSIONS Smartwatch recordings demonstrate moderate feasibility in diagnosing SVT when following a pre-specified algorithm. However, this diagnostic performance was lower than the accuracy obtained from 12-lead ECG tracings when blinded to procedure outcomes.
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Affiliation(s)
- Kivanc Yalin
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
| | - Ali Ugur Soysal
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Baris Ikitimur
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Beyza Irem Yabaci
- Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | | | - Adem Atici
- Cardiology Clinic, Medeniyet University, Goztepe Education and Research Hospital, Istanbul, Turkey
| | - Hasan Tokdil
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Gunduz Incesu
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hakan Yalman
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Murat Cimci
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hakan Karpuz
- Department of Cardiology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
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Bogár B, Pető D, Sipos D, Füredi G, Keszthelyi A, Betlehem J, Pandur AA. Detection of Arrhythmias Using Smartwatches-A Systematic Literature Review. Healthcare (Basel) 2024; 12:892. [PMID: 38727449 PMCID: PMC11083549 DOI: 10.3390/healthcare12090892] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Smartwatches represent one of the most widely adopted technological innovations among wearable devices. Their evolution has equipped them with an increasing array of features, including the capability to record an electrocardiogram. This functionality allows users to detect potential arrhythmias, enabling prompt intervention or monitoring of existing arrhythmias, such as atrial fibrillation. In our research, we aimed to compile case reports, case series, and cohort studies from the Web of Science, PubMed, Scopus, and Embase databases published until 1 August 2023. The search employed keywords such as "Smart Watch", "Apple Watch", "Samsung Gear", "Samsung Galaxy Watch", "Google Pixel Watch", "Fitbit", "Huawei Watch", "Withings", "Garmin", "Atrial Fibrillation", "Supraventricular Tachycardia", "Cardiac Arrhythmia", "Ventricular Tachycardia", "Atrioventricular Nodal Reentrant Tachycardia", "Atrioventricular Reentrant Tachycardia", "Heart Block", "Atrial Flutter", "Ectopic Atrial Tachycardia", and "Bradyarrhythmia." We obtained a total of 758 results, from which we selected 57 articles, including 33 case reports and case series, as well as 24 cohort studies. Most of the scientific works focused on atrial fibrillation, which is often detected using Apple Watches. Nevertheless, we also included articles investigating arrhythmias with the potential for circulatory collapse without immediate intervention. This systematic literature review provides a comprehensive overview of the current state of research on arrhythmia detection using smartwatches. Through further research, it may be possible to develop a care protocol that integrates arrhythmias recorded by smartwatches, allowing for timely access to appropriate medical care for patients. Additionally, continuous monitoring of existing arrhythmias using smartwatches could facilitate the assessment of the effectiveness of prescribed therapies.
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Affiliation(s)
- Bence Bogár
- Department of Oxyology and Emergency Care, Pedagogy of Health and Nursing Sciences, Institute of Emergency Care, Faculty of Health Sciences, University of Pécs, 7624 Pécs, Hungary; (D.P.); (G.F.); (J.B.); (A.A.P.)
| | - Dániel Pető
- Department of Oxyology and Emergency Care, Pedagogy of Health and Nursing Sciences, Institute of Emergency Care, Faculty of Health Sciences, University of Pécs, 7624 Pécs, Hungary; (D.P.); (G.F.); (J.B.); (A.A.P.)
| | - Dávid Sipos
- Department of Medical Imaging, Faculty of Health Sciences, University of Pécs, 7400 Kaposvár, Hungary;
| | - Gábor Füredi
- Department of Oxyology and Emergency Care, Pedagogy of Health and Nursing Sciences, Institute of Emergency Care, Faculty of Health Sciences, University of Pécs, 7624 Pécs, Hungary; (D.P.); (G.F.); (J.B.); (A.A.P.)
| | - Antónia Keszthelyi
- Human Patient Simulation Center for Health Sciences, Faculty of Health Sciences, University of Pécs, 7624 Pécs, Hungary;
| | - József Betlehem
- Department of Oxyology and Emergency Care, Pedagogy of Health and Nursing Sciences, Institute of Emergency Care, Faculty of Health Sciences, University of Pécs, 7624 Pécs, Hungary; (D.P.); (G.F.); (J.B.); (A.A.P.)
| | - Attila András Pandur
- Department of Oxyology and Emergency Care, Pedagogy of Health and Nursing Sciences, Institute of Emergency Care, Faculty of Health Sciences, University of Pécs, 7624 Pécs, Hungary; (D.P.); (G.F.); (J.B.); (A.A.P.)
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Abstract
BACKGROUND Over the past few years, smartwatches have become increasingly popular in the monitoring of arrhythmias. Although the detection of atrial fibrillation with smartwatches has been the subject of various articles, there is no comprehensive research on the detection of arrhythmias other than atrial fibrillation. In this study, we included individual cases from the literature to identify the characteristics of patients with smartwatch-detected arrhythmias other than atrial fibrillation. METHODS PubMed, Embase, and SCOPUS were searched for case reports, case series, or cohort studies that reported individual participant-level data, until January 6, 2022. The following search string was used for each databases: ('Smart Watch' OR 'Apple Watch' OR 'Samsung Gear') AND ('Supraventricular Tachycardia' OR 'Cardiac Arrhythmia' OR 'Ventricular Tachycardia' OR 'Atrioventricular Nodal Reentry Tachycardia' OR 'Atrioventricular Reentrant Tachycardia' OR 'Heart Block' OR 'Atrial Flutter' OR 'Ectopic Atrial Tachycardia' OR 'Bradyarrhythmia'). RESULTS A total of 52 studies from PubMed, 20 studies from Embase, and 200 studies from SCOPUS were identified. After screening, 18 articles were included. A total of 22 patients were obtained from 14 case reports or case series. Four cohort studies evaluating various arrhythmias were included. Arrhythmias, including ventricular tachycardia, atrial fibrillation, atrial flutter, atrioventricular nodal reentry tachycardia, atrioventricular reentrant tachycardia, second- or third-degree atrioventricular block, and sinus bradycardia, were detected with smartwatches. CONCLUSIONS Cardiac arrhythmias other than atrial fibrillation are also commonly detected with smartwatches. Smartwatches have an important potential besides traditional methods in the detection of arrhythmias and clinical practice.
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Xintarakou A, Sousonis V, Asvestas D, Vardas PE, Tzeis S. Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives. Front Cardiovasc Med 2022; 9:853614. [PMID: 35299975 PMCID: PMC8921479 DOI: 10.3389/fcvm.2022.853614] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/08/2022] [Indexed: 12/14/2022] Open
Abstract
Remote monitoring and control of heart function are of primary importance for patient evaluation and management, especially in the modern era of precision medicine and personalized approach. Breaking technological developments have brought to the frontline a variety of smart wearable devices, such as smartwatches, chest patches/straps, or sensors integrated into clothing and footwear, which allow continuous and real-time recording of heart rate, facilitating the detection of cardiac arrhythmias. However, there is great diversity and significant differences in the type and quality of the information they provide, thus impairing their integration into daily clinical practice and the relevant familiarization of practicing physicians. This review will summarize the different types and dominant functions of cardiac smart wearables available in the market. Furthermore, we report the devices certified by official American and/or European authorities and the respective sources of evidence. Finally, we comment pertinent limitations and caveats as well as the potential answers that flow from the latest technological achievements and future perspectives.
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Affiliation(s)
| | | | | | - Panos E Vardas
- Heart Sector, Hygeia Hospitals Group, HHG, Athens, Greece.,European Heart Agency, European Society of Cardiology, Brussels, Belgium
| | - Stylianos Tzeis
- Department of Cardiology, Hygeia Group, Mitera Hospital, Athens, Greece
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