Rheumatoid Arthritis Clinical Trials

Showing 19101-19120 of 47,334 trials

A Study to Evaluate Accuracy and Validity of the Chang Gung ECG Abnormality Detection Software

NCT05903313

"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.

Long QT SyndromeSinus BradycardiaSinus Tachycardia+7 more

Chang Gung Memorial Hospital4,306 participantsStarted Oct 2023

Taoyuan City, Taiwan

COMPLETEDNA

Enhancement of Physical and Combat Preparedness of SAF Members - Validation Study

NCT05218798

The aim of the proposed project is to investigate the reliability, validity, and usefulness of the 30-15 intermittent fitness test in the Slovenian Armed Forces. We will compare the results obtained from a continuous treadmill running test, 2-mile run test, and 30-15IFT.

Physical FitnessCardio Respiratory FitnessAerobic Capacity+2 more

University of Ljubljana34 participantsStarted Feb 2022

Ljubljana, Slovenia

A Study to Evaluate Accuracy and Validity of the Chang Gung ECG Abnormality Detection Software

Enhancement of Physical and Combat Preparedness of SAF Members - Validation Study

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