The Effects of Advanced Filtering Methods on Visualization of Single-Lead Smartwatch ECG Waveforms for Clinical Interpretation

The Effects of Advanced Filtering Methods on Visualization of Single-Lead Smartwatch ECG Waveforms for Clinical Interpretation   Guest: Dr. Alan Kennedy Host: Anthony H. Kashou, M.D. (@anthonykashoumd) As technology advances, so does our proficiency in interpreting the heart's language, with ECG filtering playing a crucial role. The episode delves into the challenges posed by signal noise, compares traditional and AI-driven ECG filtering techniques, and underscores the promising future of the synergy between technology and cardiology for precise heart signal insights. Topics Include: In the context of utilizing the 12-lead ECG to assess cardiac electrical dyssynchrony and identify disease pathways through ventricular depolarization, how do you accomplish this and what potential benefits does it offer clinicians? How does your approach, such as CineECG, differ from the conventional 12-lead ECG? When comparing your approach to the utilization of artificial intelligence for improving ECG interpretation, what are the key similarities and differences to CineECG? Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices. LinkedIn: Mayo Clinic Cardiovascular Services Cardiovascular Education App:The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today! No CME credit offered for this episode. Podcast episode transcript found here.