View clinical trials related to Sinus Tachycardia.
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 application scenario is shown in the figure below: the user utilizes an ECG-based wireless sensor (WiBoC Chipset), and transmit those signals to a mobile-phone device that has an embedded expert system integrated. With the aid of 3G system, a remote healthcare monitoring center receives those uploaded signals and stores into the application server. According to the events from this server, the people on service responses to the emergency and takes the corresponding process.
The main purpose of the Product Performance Report (formerly referred to as System Longevity Study) is to evaluate long-term performance of Medtronic market-released cardiac rhythm products by analyzing product survival probabilities.