Active clinical trials for "Arrhythmias, Cardiac"

Valiosa is a national, multicenter and prospective post market study. The objectives of the study are to generate and validate an instrument to evaluate patient and clinician's satisfaction with remote monitoring and to create awareness of the importance of remote monitoring among patients, physicians and decision makers.

Supraventricular arrhythmias (including atrial fibrillation) are the most common arrhythmias of the veteran athlete and have a major impact in terms of morbidity and mortality. Although moderate sports practice has been shown to decrease the occurrence of these arrhythmias, it has also been shown that very intense athletic activity is associated with an increased risk of developing atrial fibrillation. The pathophysiological mechanism is not clearly understood. However, it has already been shown that intensive sports practice leads to electrical and morphological atrial remodeling, which could be the cause of the occurrence of supraventricular arrhythmias for these athletes. For sedentary patients, two major tools predict the risk of the onset of supraventricular arrhythmia: the electrocardiogram (ECG) and transthoracic echocardiography (ETT), particularly with the study of atrial function by the analysis of myocardial deformities.

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.

The iBeat Study is a single-center, prospective, unblinded validation of the photoplethysmography (PPG) and tissue oximetry (TO) signal waveforms recorded from a wrist-based sensor devices.

This is a prospective, controlled, comparative clinical trial of a new ECG monitoring system CardioSenseSystem prior CE marking. The aim of the study is to demonstrate that the CardioSenseSystem's cable-free ECG monitoring system (investigational device) is equivalent or better than traditional and accepted industry standard for cable-based ECG monitoring system (control device). In this study accepted industry standard is Philips Intellivue. In order to investigate this, the study will measure ECG monitoring interruptions, management time and alarm performance. The study population will consist of sixty (60) adult subjects requiring ECG and that are fulfilling the eligibility criteria for study participation. The subjects will be using both the investigational device and the control device simultaneous for measuring data loss, management time and alarm function up to 24 hours.

Use of proton pump inhibitors has been associated with hypomagnesemia. However, various case-control or prospective studies have found conflicting results with regards to proton pump inhibitors use and development of hypomagnesemia. Our aim was to evaluate the likelihood that proton pump inhibitors contributed to severe hypomagnesemia in a retrospective cohort of patients admitted with severe hypomagenesemia. We also aimed to look for risk factors leading to development of hypomagnesemia amongst users of proton pump inhibitors

Recorded cutaneous ECG containing arrhythmia events are separately analysed by an expert Electrophysiologist and the ISSD detection algorithm, to allow assessment of the correct detection of tachyarrhythmia events and discrimination of supra-ventricular arrhythmia of the algorithm,m compared to the expert.

The proposed clinical study aims to validate the diagnostic performance, compared to a reference ECG, of the ECG-SW1 software and the PPG-SW1 software integrated into the HWA09 watch developed by Withings for the automatic identification of atrial fibrillation (AF).

The study aims to assess the prevalence of ventricular rhythmic disorder after an acute myocarditis in sportsmen. 50 patients with acute myocarditis, confirmed by MRI, will be assessed by ECG Holter and Treadmill stress test during a 1-year follow-up.

This study will measure the diagnostic sensitivity and specificity of the Medtronic CardioInsight wearable 252 electrode vest in predicting the chamber of origin of premature ventricular complexes (PVCs) and compare its diagnostic accuracy with the standard 12- lead ECG.