View clinical trials related to Arrhythmias, Cardiac.
Filter by: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.
It's a randomized pilot study to evaluate the incidence of esophageal thermal injury after left atrial ablation for the treatment of atrial fibrillation according to three different strategies of esophageal temperature monitoring. These patients will be divided into 3 groups with different strategies of esophageal temperature monitoring: group 1 without monitoring, group 2 monitoring with single probe thermometer and group 3 monitoring with multi-probe thermometer. The primary end point will be the incidence of esophageal lesions assessed by upper endoscopy.
This is an early feasibility, non-randomized, open-label, single group, interventional study to be conducted in up to 20 US subjects to evaluate the technical feasibility of the Durablate Catheter and Thermedical Ablation System to eliminate or control sustained, monomorphic ventricular tachycardia (VT) in patients with VT refractory to drug and conventional catheter ablation with acceptable procedural safety.
This study aims to compare the clinical profile and outcomes of acute coronary syndrome patients with diabetes and without diabetes.
This study aims to evaluate the effect of statin for primary prevention, towards lowering the incidence of heart failure, acute lung edema, malignant arrhythmia and death in ACS patients.
Bradyarrhythmia is one of the common diseases. Also, bradyarrhythmia could result in syncope, clinic convulsion, shock, sudden death and so on, which could influence people's life quality severely. Artificial pacemaker is the only way that can cure bradyarrhythmia. However, traditional right ventricular apical pacing, because its electric stimulation is mostly different of the physiological one, could lead to ventricular thick inhomogeneously. At the same time, traditional right ventricular apical pacing also could result in cardiac arrhythmia and fibrosis, dyssynchrony of the ventricles, which can increase the volume of mitral regurgitation. Besides, cardiac resynchronization therapy (CRT), which aims to cure chronic heart failure, is also unsatisfactory. On the contrary, the electric stimulation of his bundle pacing (HBP) is the same as the physiological one, which produces a relatively normal electrical stimulation and synchrony in systolic velocities in ventricular. Thus, HBP could produce a better haemodynamic effect, which is the hotspot in pace-making area recently. The purpose of this study is to conduct a comparison in patients' cardiac function, ECG, and pacemakers' threshold value, time limit and so on among dual chamber pacemaker, and HBP.
This study will test the ability of computer algorithms to predict successful ablation therapy for atrial arrhythmias.
The primary purpose of this study is to test the feasibility of trials which change the dialysate (dialysis bath prescription) of potassium and bicarbonate according to a standardized algorithm and according to the results of blood testing performed prior to each dialysis. In addition, the trial will provide estimates of the extent to which performing dialysis in this way lowers the risk of abnormal heart rhythms in people with kidney failure who are being treated with chronic hemodialysis.
Aims Approximately 20-25% of strokes are of cardioembolic origin, atrial fibrillation (AF) being a significant cause of cardioembolic strokes. AF is often symptomless and intermittent, making its detection a clinical challenge. Currently the golden standard for diagnosis of AF is by 12-lead electrocardiogram (ECG) or any other ECG-strip. The primary aim of the study is to assess the potential of chest strap as an ECG monitor especially in arrhythmia detection by cardiologist and algorithm. The secondary aim is to assess potential of photoplethysmography (PPG) based device for arrhythmia detection.
This study evaluates the feasibility and usability of a wearable patch as a cardiac monitor for non-ICU hospitalized patients.