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?

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LinkedIn: Mayo Clinic Cardiovascular Services

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Podcast episode transcript found here.