Active clinical trials for "Arrhythmias, Cardiac"

In this study, a wristband that monitors hearth rhythm and blood pressure is assessed in free living conditions. Two groups of patients are being recruited: patients receiving an EKG holter and patients receiving an automatic blood pressure monitor. Patients wear the wristband for 28 days. During this time, the number of atrial fibrillation episodes detected by the wristband is being counted, which is to be compared with the number of episodes detected by the holter. Also, blood pressure is measured continuously, which is to be compared with daily blood pressure measurements using a conventional blood pressure cuff.

To acquire, amplify, digitize, and record atrial intracardiac electrophysiology signals during cardiac electrophysiology studies for the treatment of persistent atrial fibrillation and to use the recorded data to test the performance of an signal complexity visualization algorithm.

In patients expressing the SCN5A-E1784K mutation (Glu1784Lys), cardiovascular risk is difficult to define as the stratification of these patients is challenging. From our experience, major cardiovascular events (MCE) tend to occur more frequently in patients expressing overlap syndrome phenotype (Brugada syndrome and Long QT syndrome type 3)than in patients expressing a single phenotype (whether Brugada syndrome or Long QT syndrome type 3). This trials is led on the impact on Risk Stratification of Overlap Syndrome Phenotype in Patients With E1784K Mutation in SCN5A ( RISKOVER )

Atrial fibrillation (AF) is an enormous public health problem in the United States, affecting 2-5 million Americans and causing rapid heart beats, stroke, heart failure or death. In this project, the applicant will develop a novel framework to better understand human AF that builds on agreement between several concepts for the disease. The applicant will develop strategies to identify AF patients who will best respond to each of several therapies, to guide personalized therapy.

Atrial fibrillation is a serious public health issue that affects over 5 million Americans (Miyazaka, Circulation 2006) in whom it may cause skipped beats, dizziness, stroke and even death. Therapy for AF is currently suboptimal, in part because AF represents several disease states of which few have been delineated or used to successfully guide management. This study seeks to clarify this delineation of AF types using machine learning (ML).

This is a cohort study to evaluate algorithms for mapping atrial fibrillation by mapping atrial structure and mapping electrical activity to detect focal and rotational activity.

Japanese Cather Ablation (J-AB) Registry is a voluntary nationwide registry, performed by Japanese Heart Rhythm Society, collaborated with the National Cerebral and Cardiovascular Center. The objectives of this registry are to observe and describe developments in the catheter ablation treatment of arrhythmia in Japan and to provide reliable information on the type of activity performed and the facilities available in Japanese arrhythmia units.

National french registry of patients with tetralogy of Fallot and implantable cardioverter defibrillator.

AcQMap Registry is an observation study

Implantable cardioverter defibrillators (ICD) are used to treat life-threatening heart rhythm disturbances (arrhythmias). They have been proven to reduce the risk of sudden cardiac death; however, there are limitations with current ICDs. Firstly, they may deliver inappropriate therapies (therapies delivered in the absence of life-threatening arrhythmias). Secondly, slower life-threatening arrhythmias may be left untreated because current programming recommendations, designed to minimise inappropriate therapies, rely predominantly on heart rates. Therefore, there is considerable potential to make ICDs safer with more sophisticated ICD algorithms. In this research study the investigators will collect data from participants with newly implanted or existing ICDs whilst they are in induced or spontaneously occurring abnormal rhythms. The data will come from sensors placed on the skin that can measure blood flow or electrical properties of the body. In addition, in 20 participants, the investigators will also collect further data from a small loop recorder implanted under the skin. The investigators will use this data to help develop and validate new methods of reliably identifying life-threatening arrhythmias so that future ICDs deliver therapies when only needed. The research is funded by the British Heart Foundation, and will take place at Hammersmith Hospital over 3 years. The investigators aim to recruit 100 patients in total.