View clinical trials related to Premature Atrial Complexes.
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 purpose of this study is to estimate the clinical relevance of monitoring patients with acute ischemic stroke with 48 hours' inpatient cardiac telemetry in relation to evaluate the presence of brief runs of premature atrial complexes and new diagnosed atrial fibrillation. Furthermore to evaluate the prognostic significance of brief runs of premature atrial complexes in relation to develop atrial fibrillation, recurrent stroke/transient ischemic attack and death.
The purpose of this study is to improve secondary prevention of ischemic stroke patients by 1. Estimating prevalence and the prognostic significance of frequent premature atrial complexes in ischemic stroke patients in relation to death, recurrent stroke and atrial fibrillation. 2. Characterize ischemic stroke patients by 1. Echocardiographic characteristics 2. Biochemical markers 3. Plaque composition in the carotid arteries - in order to improve risk stratification.