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Showing 1-5 of 5 trials
NCT05884359
This study will utilize 3D mapping as a tool to explore electro-anatomical and electrocardiographic characteristics of the Left Bundle Branch Area. We plan on prospectively reviewing the data found from 3D mapping the left bundle branch implantation cases and using the data to improve understanding of electro-anatomical characteristics of this area for a better definition of the implantation target and depth.
NCT04180696
The Mid-Q Response study is a prospective, multi-center, randomized controlled, interventional, single-blinded, post-market study. The purpose of the Mid-Q Response study is to test the hypothesis that the AdaptivCRT (aCRT) algorithm is superior to standard CRT therapy regarding patient outcomes in CRT indicated patients with moderate QRS duration, preserved atrioventricular (AV) conduction and left bundle branch block (LBBB). The study will be executed at approximately 60 centers in Asia. The subjects will be randomly assigned in a 1:1 ratio to the aCRT ON (Adaptive Bi-V and LV) group or the aCRT OFF (Nonadaptive CRT) group. The primary objective is to test the hypothesis that aCRT ON increases the proportion of patients that improve on the Clinical Composite Score (CCS) compared to aCRT OFF at 6 months of follow-up.
NCT05251363
The purpose of the BIO-CONDUCT study is to demonstrate the safety and effectiveness of the BIOTRONIK Solia S pacing lead when implanted in the left bundle branch (LBB) area. Safety will be assessed by evaluating serious adverse device effects that occur through 3 months post-implant. Efficacy will be assessed by evaluating implant success rate.
NCT06488989
The relevance of Left Bundle Branch Pacing (LBBP) lies in its potential as a promising treatment option for patients with heart failure and left bundle branch block. LBBP aims to restore the normal physiological activation of the heart by delivering electrical impulses to the anatomical area of the left bundle branch, which may lead to more effective and synchronized ventricular contractions. Compared to traditional cardiac resynchronization therapy (CRT), this can result in a more physiological correction of dyssynchrony, improvement in left ventricular pump function, reduction in left ventricular volumes, and a decrease in mitral regurgitation. A crucial criterion is the reduction of heart failure symptoms and the enhancement of the patients quality of life.
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.