Signal Analysis in Electrophysiology

Date
Tuesday, October 22, 2024
 
Time
6:00 PM (UTC-05:00) Eastern Time (US & Canada)
 
Duration
60 minutes
 
Credit Type
CME/CNE/CCI
 
Intended Learners

Electrophysiologists, Cardiologists, Fellows and Residents in accredited EP Programs, Nurses, Techs and EP Lab staff.

 
Learning Objectives
  • Enhance the understanding of signal analysis and importance of signal clarity among electrophysiologists, cardiologists, and other healthcare professionals
  • Highlight the importance of quality ECGs in EP recording, that they are the basis of the algorithm
  • Demonstrate the practical application of AI and ML in analyzing ECGs
  • Provide an overview of major clinical trials that are applicable to this topic
 
Continuing Education
 
Jointly Accredited Provider
 

In support of improving patient care, HMP Education is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

 

Note: This statement is not an indication of approved credits. Check back soon for full accreditation information.

Supported by independent educational grants from GE Healthcare and Volta Medical.

 

Speakers

Tina Baykaner, MD, MPH
Stanford University
Assistant Professor of Medicine
John D. Hummel, MD, FACC, FHRS
Ohio State University
Professor of Internal Medicine
Paul C. Zei, MD, PhD
Harvard Medical School
Associate Professor of Medicine