View clinical trials related to Heart Block.
Filter by:"Chang Gung ECG Abnormality Detection Software" is a is an artificial intelligence medical signal analysis software that detect whether patients have abnormal ECG signals of 14 diseases by static 12-lead ECG. The 14 diseases were - Long QT syndrome - Sinus bradycardia - Sinus Tachycardia - Premature atrial complexes - Premature ventricular complexes - Atrial Flutter, Right bundle branch block - Left bundle branch block - Left Ventricular hypertrophy - Anterior wall Myocardial Infarction - Septal wall Myocardial Infarction - Lateral wall Myocardial Infarction - Inferior wall Myocardial Infarction - Posterior wall Myocardial Infarction The main purpose of this study is to verify whether "Chang Gung ECG Abnormality Detection Software" can correctly identify abnormal ECG signals among patients of 14 diseases. The interpretation standard is the consensus of 3 cardiologists. The results of the software analysis will be used to evaluate the performance of the primary and secondary evaluation indicators.
The goal of this study is to assess the feasibility, accuracy and safety of performing fluoroless (or low fluoro) conduction system pacing utilizing electro-anatomic mapping (EAM) with the CARTO 3 mapping system (Biosense Webster Inc, Irvine, CA) in comparison to a group of patients undergoing conventional conduction system pacing (CSP) Implants.
Recent studies have shown that chronic stimulation of the right ventricle can cause deleterious effects to cardiac function and synchronicity. The occurrence and consequences of this phenomenon in children and young patients with cardiac pacemaker due to advanced atrioventricular block (AVB) are still unknown. Thus, our aims is to assess the chronic effects of cardiac pacing in children and young patients with advanced AVB and its impact on clinical, functional and echocardiographic parameters.