View clinical trials related to Cardiac Arrhythmia.
Filter by:BIO|Adapt study is designed to provide evidence for the clinical benefit of the CRT AutoAdapt feature. This feature provides continuous adaptation of AV delay and biventricular pacing modality. However, additional clinical data on the short and mid-term improvement of CRT-D patients by the CRT AutoAdapt feature are needed.
To determine the associations among biometric data, arrhythmias, subject-reported symptoms and subject wellness.
The perpuse of this study is to investigate the feasibility of the Philips interventional MRI suite "iSuite" to create an electroanatomical map of the heart based on which the real-time location of the catheters can be correctly and reliably visualized during CMR-guided electrophysiological procedure (CMR-EP).
Holter monitoring is one of the most widely used diagnostic methods to detect cardiac arrhythmias. Newer Holter monitors may provide some advantages over the more traditional ones. This study will compare the findings of a Holter exam using an innovative 3-lead wireless water resistant device with a conventional device.
COLUMBIA CARDS is a pilot study to understand how COVID-19 affects the heart. It is known that COVID-19 can affect the heart in different ways. COLUMBIA CARDS is studying why some COVID-19 survivors develop clinical conditions such as heart inflammation, fluid buildup, blood clots, and other cardiac problems during or after their COVID-19 illness, and why other ones do not. In this study, we will use cardiovascular magnetic resonance (CMR) and transthoracic echocardiography (TTE) to better understand the impact of COVID-19 on the heart.
Prospective, multi-center (2-3 sites), non-randomized, open label, single arm 3 phase study: 1. Phase 1 or Evaluation Phase: Where the KODEX-EPD System will be used to exclusively monitor the entire implantation procedure; the KODEX-EPD system will not be used for guidance during the lead implantation workflow. 2. Phase 2 - KODEX-EPD-assisted Phase: Where the KODEX-EPD system will be used for cardiac imaging acquisition, guidance during lead implantation in conjunction with fluoroscopic imaging 3. Phase 3 - KODEX-EPD-guided Phase: Where the KODEX_EPD System will be used as the leading imaging modality during the lead implantation workflow. Fluoro can be used; - up until the part of the lead implantation workflow that is the scope of this investigation. - As a bailout, when the operator declares failure to attempt.
Subjects will be consented to wear the AleriTM sensor prior to, during, and after an Electrophysiology Procedure. During this time, the system will measure the following parameters from subjects: HR, temperature, saline volume/rate, urine production volume, USG, BPO. Data will be retrospectively analyzed to determine if the system effectively operates under these conditions, and can effectively monitor hydration levels of subjects compared to currently available methods.
This is a retrospective, multi center clinical study collecting existing, de-identified subject data from medical records to be analyzed using an independent core laboratory to validate performance of a computational ECG mapping system (vMap™).
The purpose of the KODEX EPD Field study is to evaluate the performance of the KODEX-EPD system and collect procedural data and medical images for Philips' internal research and development activities (R&D) related to the KODEX-EPD system, as well as for marketing and publication purposes. The KODEX-EPD system is an imaging system that will allow for real time visualization of the catheters in your heart during your procedure, as well as display cardiac images of your heart in several different formats.
This study aims to evaluate the electrophysiological properties of the heart conduction system in patients with (increased risk of) ventricular tachyarrhythmias (VTA) and sudden cardiac arrest, and in a control cohort. The electrophysiological properties will be measured with the relatively new technique ECG-Imaging (ECGI). Moreover, clinical data of subjects will be gathered. By combining the data from the data gathering and the results of ECGI, the investigators hope to increase mechanistic understanding of and risk stratification for VTAs. The investigators aim to be able to identify patients at risk of an arrhythmic event, and aim for better treatment strategies in the future.