View clinical trials related to Cardiac Arrythmias.
Filter by:It is a prospective, randomized and double-blind clinical trial involving an invasive technique for isolation of pulmonary veins (PVAC gold) in relation to clinical treatment during an one year of segment. The patients included have paroxysmal atrial fibrillation (aged 65 years and older) refractory to antiarrhythmic treatments that do not have structural and / or ischemic heart diseases. This trial employed quality of life scores prior to the study and during the sixth and twelfth month of the segment, electrocardiograms and holter of 24 hours. The proposed imaging tests was the transesophageal echocardiogram before each procedure. The cerebral MRI was performed in the 24 hours post invasive procedure and Angio-tomography of the pulmonary veins in the 6-month segment.
This study will compare the reliability and timeliness in data transmission of the Abbott Confirm Rx™ loop recorder with the Medtronic Reveal LINQ™ loop recorder.
Relationship between carbetocin dose on transmural dispersion of repolarization (TDR).
Identifying the correct arrhythmia at the time of a clinic event including cardiac arrest is of high priority to patients, healthcare organizations, and to public health. Recent developments in artificial intelligence and machine learning are providing new opportunities to rapidly and accurately diagnose cardiac arrhythmias and for how new mobile health and cardiac telemetry devices are used in patient care. The current investigation aims to validate a new artificial intelligence statistical approach called 'convolution neural network classifier' and its performance to different arrhythmias diagnosed on 12-lead ECGs and single-lead Holter/event monitoring. These arrhythmias include; atrial fibrillation, supraventricular tachycardia, AV-block, asystole, ventricular tachycardia and ventricular fibrillation, and will be benchmarked to the American Heart Association performance criteria (95% one-sided confidence interval of 67-92% based on arrhythmia type). In order to do so, the study approach is to create a large ECG database of de-identified raw ECG data, and to train the neural network on the ECG data in order to improve the diagnostic accuracy.
This study aims to compare the clinical profile and outcomes of acute coronary syndrome patients with diabetes and without diabetes.
The aim of the study is to develop and validate a novel esophageal mapping system to improve the diagnostics of cardiac arrhythmias. Using a newly designed esophageal ECG catheter, esophageal ECGs (eECGs) will be recorded in 40 patients during an electrophysiological (EP) study and/or ablation procedure and in 12 healthy volunteers. In parallel acquired intracardiac electrograms will serve as reference for the developed mapping systems accuracy. Additionally, the esophageal mapping system will be compared to that of the standard 12-lead surface ECG in regard to its diagnostic performance.
This post-market study is a prospective observational study evaluating the efficacy and safety of the LifeVest in real-life settings.
The primary purpose of this pilot study will be feasibility of recruitment. However, in order to further inform a full randomised controlled trial (RCT), information on the incidence of atrial fibrillation (AF) and other arrhythmias, hospital length of stay, resource use and morbidity will be collected.