Safety and performance of MR-conditional pacing systems with automated MRI mode at 1.5 and 3 Tesla. Posted on October 10th, 2023 by LEADconnection Post navigation Previous: Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillators.Next: The Information Needs and Experiences of People Living with Cardiac Implantable Electronic Devices: A Qualitative Content Analysis of Reddit Posts.
Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillators. Posted on October 10th, 2023 by LEADconnection Post navigation Previous: Electrical Synchrony Optimization for Left Bundle Branch Area Pacing in Patients With Bradycardia and Heart Failure.Next: Safety and performance of MR-conditional pacing systems with automated MRI mode at 1.5 and 3 Tesla.
Electrical Synchrony Optimization for Left Bundle Branch Area Pacing in Patients With Bradycardia and Heart Failure. Posted on October 10th, 2023 by LEADconnection Post navigation Previous: Advances in cardiac pacing with leadless pacemakers and conduction system pacing.Next: Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillators.