Clinical Trials Logo

Clinical Trial Summary

This study aims to assess the feasibility and reliability of smart watch iECG provided by the Apple Watch/Apple iPhone for the detection of different cardiac arrhythmias. In this study, results from a 12-lead ECG will be set as the gold standard for the arrhythmia diagnosis, and results from the smart watch iECG (Apple watch/Apple iPhone application and Cardiologist's interpretations) as the index tests. The iECG tracings will be recorded simultaneously, starting and ending at the same time as the standard 12-lead ECG, using the built-in sensors of a smart watch (Apple Watch Series 4) with the ECG application.


Clinical Trial Description

This diagnostic accuracy study is an investigator-initiated trial to evaluate the value of a smart watch-based iECG for detection of cardiac arrhythmias. iECG tracings will be recorded simultaneously, starting and ending at the same time as the standard 12-lead ECG, using the built-in sensors of a smart watch (Apple Watch Series 4) with the market version of the ECG application (Apple Inc., California). Participants will be advised to lie down in a supine position and breathe spontaneously. All recording will be done by trained study personnel. All iECG and 12-lead ECG recordings will be presented in PDF format as our references. Saved formats will be transferred to our Telemonitoring Center for further analysis and processing. Results from a 12-lead ECG will be considered as the gold standard for the measurement of heart rhythms and the arrhythmia diagnosis. All 12-lead ECGs recordings will be analyzed by 2 blinded cardiologists and will be categorized as "Sinus rhythm", "High or low heart rate", "Atrial fibrillation", or "Inconclusive". Besides, cardiologists will report ECG wave's characteristics as well as any other possible diagnosis including "Superior ventricular tachycardia", "Ventricular tachycardia", "Atrial flutter", and "other types: other possible arrhythmias". In the case of uncertainties, a third cardiologist will be consulted, blinded for initial diagnoses. The iECG recordings (test index) will be interpreted and reported in two different ways: 1. By using HealthKit Framework (Apple Watch and Apple iPhone applications): After a successful iECG recording with the Apple watch, iECGs will be transmitted by the ECG application to the iPhone. The Health App (Apple Inc., California) will receive, process and store the iECGs on the iPhone and will present one of the following results on the iPhone screen automatically: "Sinus rhythm", "High or low heart rate", "Atrial fibrillation", or "Inconclusive". Besides, the mean heart rate will be recorded, which will be automatically calculated by the Health App. 2. By cardiologist: All iECGs will be analyzed by 2 blinded cardiologists. They will report their findings in the following categorize: "Sinus rhythm", "High or low heart rate", "Atrial fibrillation", or "Inconclusive". Besides, they will report ECG wave's characteristics as well as any other possible diagnosis including "Superior ventricular tachycardia", "Ventricular tachycardia", "Atrial flutter", and "other types: other possible arrhythmias". In the case of uncertainties, a third cardiologist will be consulted, blinded for initial diagnoses. ECG wave's characteristics: The following variables will be measured as the iECG and 12-lead ECG waves' characteristics. Three randomly chosen heartbeats will be considered to measure each wave or interval, and the mean of these 3 measurements will be used for statistical analysis. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04092985
Study type Observational
Source Leipzig Heart Institute GmbH
Contact Andreas Bollmann, MD, PhD
Phone +49341865-0
Email Andreas.Bollmann@helios-gesundheit.de
Status Recruiting
Phase
Start date September 30, 2019
Completion date July 30, 2021

See also
  Status Clinical Trial Phase
Recruiting NCT05654272 - Development of CIRC Technologies
Terminated NCT04115735 - His Bundle Recording From Subclavian Vein
Completed NCT04571385 - A Study Evaluating the Efficacy and Safety of AP30663 for Cardioversion in Participants With Atrial Fibrillation (AF) Phase 2
Completed NCT05366803 - Women's Health Initiative Silent Atrial Fibrillation Recording Study N/A
Completed NCT02864758 - Benefit-Risk Of Arterial THrombotic prEvention With Rivaroxaban for Atrial Fibrillation in France
Recruiting NCT05442203 - Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease N/A
Completed NCT05599308 - Evaluation of Blood Pressure Monitor With AFib Screening Feature N/A
Completed NCT03790917 - Assessment of Adherence to New Oral anTicoagulants in Atrial Fibrillation patiEnts Within the Outpatient registrY
Enrolling by invitation NCT05890274 - Atrial Fibrillation (AF) and Electrocardiogram (EKG) Interpretation Project ECHO N/A
Recruiting NCT05316870 - Construction and Effect Evaluation of Anticoagulation Management Model in Atrial Fibrillation N/A
Recruiting NCT05266144 - Atrial Fibrillation Patients Treated With Catheter Ablation
Not yet recruiting NCT06023784 - The Impact of LBBAP vs RVP on the Incidence of New-onset Atrial Fibrillation in Patients With Atrioventricular Block N/A
Recruiting NCT05572814 - Transform: Teaching, Technology, and Teams N/A
Completed NCT04087122 - Evaluate the Efficiency Impact of Conducting Active Temperature Management During Cardiac Cryoablation Procedures N/A
Completed NCT06283654 - Relieving the Emergency Department by Using a 1-lead ECG Device for Atrial Fibrillation Patients After Pulmonary Vein Isolation
Recruiting NCT05416086 - iCLAS™ Cryoablation System Post-Market Clinical Follow-up (PMCF) Study N/A
Completed NCT05067114 - Solutions for Atrial Fibrillation Edvocacy (SAFE)
Completed NCT04546763 - Study Watch AF Detection At Home
Completed NCT03761394 - Pulsewatch: Smartwatch Monitoring for Atrial Fibrillation After Stroke N/A
Recruiting NCT06058130 - Combination of Antiplatelet and Anticoagulation for AIS Patients Witn Concomitant NVAF and Extracranial/Intracranial Artery Stenosis N/A