View clinical trials related to Arrhythmias, Cardiac.
Filter by:Sotalol is an antiarrhythmic medication with proven effects for the suppression and prevention of supraventricular and ventricular arrhythmias. Due to its potential proarrhythmic effect, its introduction should be cautious, and several guidelines recommend starting the medication in hospital settings. However, patients at low risk for a proarrhythmic effect start the medication in outpatient units, despite the lack of clinical studies in the literature that demonstrate the safety of introducing the medication outside the hospital environment. This research project aims to assess the safety introduction of sotalol in an outpatient unit basis. Our hypothesis is that outpatient introduction of sotalol is safe for low-risk patients and an electrocardiographic analysis after 2 hours of the first dose of medication is a predictor of electrocardiographic changes found after 72 hours. In this research, serial electrocardiographic analysis with measurements of the QT corrected intervals and its dispersion, as well as clinical and laboratory parameters will be performed in 110 patients.
The study will involve exposing individuals with a known past medical history of diabetes mellitus and/or cardiac arrhythmias to centrifuge-induced acceleration force (G-force) in the NASTAR AFTS-400 simulator to evaluate their response to such forces. Subjects without a history of these conditions will also undergo centrifuge-induced G-forces as controls. This study will contribute to the knowledge of how individuals with such medical conditions experience G-forces that may be experienced during commercial spaceflights.
A prospective study in paediatric, adolescent and young adult patients aged 7 to 18 years to validate the use of the Apple Watch's electrocardiogram (ECG) function in measuring QT prolongation during and or after cancer therapy.
Mobile battle ground games are widely used in various age groups, there are ocular and cardiac affection that may affect users of this type of action games.
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).
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.
Interventional, prospective, non-randomized, single-center, non-controlled clinical investigation as part of the premarket clinical evaluation of VX1+ medical device, aiming to verify that VX1+ in bidirectional configuration with auto-tagging function is both ergonomic and reliable for dispersed electrograms detection and automatic tagging on 3D-map in real-time.
Patient-centered novel e-health technology and services will lay the foundation for future healthcare systems and services to support health and welfare promotion. Yet, there is a lack of ways to incorporate novel technological innovations into easy-to-use, cost-effective and low workload treatment. The detection of atrial fibrillation (AF) paroxysms and its permanent form as well as the prevention of AF-related strokes are major challenges in cardiology today. AF is often silent or asymptomatic, but the risk of ischemic stroke seems to be similar regardless of the presence or absence of symptoms. CARE-DETECT algorithm development part I will investigate following topics: 1. The usefulness and validity of bed sensor and mobile phone application in rhythm disorder capture compared to gold standard ECG-holter monitoring (Faros ECG) 2. Accuracy of AF detection from PDL data 3. Technical development of algorithms to detect arrhythmia from data collected with these novel devices 4. Development of a pre-processing tool that will evaluate the collected data and generate a preliminary filtered report of the raw data to ease clinician's workload in data handling and rhythm evaluation. CARE-DETECT clinical trial (part II) proposal provides a new concept for low workload for healthcare personnel, high diagnostic yield in silent AF detection and AF burden evaluation. CARE-DETECT protocol proposal seeks to address following issues: 1. Can a combination of actively used smartphone application and passive monitoring with bed sensor (with upstream ECG) - compared to routine care - enhance the detection of AF in patients who are at increased risk of stroke and have undergone a cardiac procedure? 2. What is the actual AF burden in paroxysmal AF patients after the detection of new-onset AF? 3. Can a direct-to-consumer telehealth with integrated cloud-based telecardiology service for medical professionals improve the efficacy of silent AF detection and what is the AF burden in patients suffering of (asymptomatic) paroxysmal AF and secondarily what is the cost-effectiveness of these new screening methods? 4. Additionally, during the hospitalization phase of the study part II PDL data will be collected in the intervention group. PDL data will be analyzed offline with the purpose to develop new methods and will not be used to monitor treatment or for diagnosis.
Temporary cardiac pacing with active-fixation leads (TPAFL) using a reusable permanent pacemaker generator has been shown to be safer than lead systems without fixation. However, TPAFL requires the off-label (non-certificated) use of Pacemaker leads and generators. It is designed a fastening system to ensure the safety and efficacy of the procedure: the KronoSafe System®. The aim of this study is to demonstrate the safety and effectiveness of the KronoSafe System® for temporary pacing in a series of patients receiving TPAFL.
The primary aim is to conduct a prospective observational cohort study to analyze the incidence of serious arrhythmic events that occur within 14 days after hospital discharge in patients who had been hospitalized for cardiac arrest caused by acute myocardial infarction. Cardiac arrythmias following hospital dischagre will be detected with Philips ePatch® 2.0 for 14 days.