Modeling Disease Pathways Through Ventricular Depolarization

Mayo Clinic Cardiovascular CME

Modeling Disease Pathways Through Ventricular Depolarization

Guest: Peter van Dam, PhD

Host: Anthony H. Kashou, MD

Detection of disease progression is hampered due to the large variation in normal QRS morphologies, even for the ECG expert. Cardiac modeling techniques can improve the interpretation and diagnostic value of the ECG by visualizing relevant QRS deviations. Comparing the QRS waveforms and electrical pathway in genetical patients to normal controls shows that even small changes in the QRS can be detected in patients with a genetical disease, like Brugada or ACM.

Topics Discussed:

• What is the PathECG?
• How do you compare PathECG to normal ECG waveform?
• What can the PathECG add to the ECG?
• Could PathECG improve the quality of the ECG diagnosis?

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

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No CME credit offered for this episode.

Podcast episode transcript found here.