just now

Understanding ECG Waveforms: Normal vs. Abnormal

Listen to this episode

0:00 / 0:00

Summary

Understanding ECG Waveforms: Normal vs. Abnormal Guest: Dr. Peter van Dam Host: Anthony H. Kashou, M.D.    The ECG interpretation is majorly driven by event detection, i.e. QRS onset and end, QT time, P wave etc. From these we can determine the normal heart rhythm, and some performance measures, like heart rate etc. The ECG waveforms, however, are much less understood. This is a pity, as ECG waveforms, provide instantaneous information on the electrophysiological and structural function of the heart. In this respect it is interesting to know if there is something like a normal ECG waveform or normal PathECG (CineECG). This latter technique is a vector-based method to estimate the electrical position of a moving vector within the heart. Similar normal distributions can be created to compare to the normal ECGs.   Topics Discussed How can we define a normal ECG waveform? (ECGs from healthy normal people for different age groups, I used about 6000 normal ECGs, correction for heart rate by resampling to standard QT time (400 ms for instance, these ECGs can be used to create a distribution of amplitudes and derived signals (CineECG) to compare an ECG too) What is needed for an accurate waveform comparison? (Good baseline correction, not filtering, but baseline correction) What is the onset and end of the P-wave, QRS and T wave?) Are normal ECGs waveforms different from abnormal ECG waveforms? (Of course they overlap, describe left bundle branch block, or ischemia, with long QRS or deviating ST segment ) Did you use this method to classify ECGs as normal or abnormal? (results from our study (manuscript in preparation) that any QRST sequence in an ECG can be classified as abnormal with an accuracy (AUC) of more than 81%. In our study population 15% of the patients had only atrial related abnormal ECGS) 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.

First published

07/16/2024

Genres

education health fitness medicine science

Duration

13 minutes

Parent Podcast

Mayo Clinic Cardiovascular CME

View Podcast

Share this episode

Similar Episodes

  • Teamwork, Triumphs, and Tomorrow in Electrocardiography at the Mayo Clinic

    10/17/2023

    Recognizing the Longstanding Concerns in ECG Interpretation Proficiency Guest: Peter Noseworthy, M.D, M.B.A. Host: Anthony H. Kashou, M.D.  In this episode, we delve deep into the heart of the Mayo Clinic’s Heart Rhythm and Physiologic Monitoring Laboratory, exploring its pivotal milestones, innovations, and the collaborative spirit driving its success. Through candid stories of challenges, we gain insight into the lab's resilience and vision for the future of electrocardiography.   Topics Discussed Impact on patient care in diagnosis over time How the lab has adapted to the ever-evolving demands of health care Innovations that have kept the Heart Rhythm and Physiologic Monitoring Laboratory at the forefront 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.

    Clean
    View Details

  • Cardiovascular Recovery in Anthracycline Cardiotoxicity

    01/24/2023

    Cardiovascular Recovery in Anthracycline Cardiotoxicity Guest: Joerg Herrmann, M.D. Host: Malcolm R. Bell, M.D. Joining us today to discuss cardiovascular recovery in anthracycline cardiotoxicity is Joerg Herrmann, M.D., professor of medicine and director of the cardio-oncology clinic at Mayo Clinic in Rochester, Minnesota. Dr. Herrmann is a leading expert in cardio-oncology issues, so tune in to learn more about cardiovascular recovery in anthracycline cardiotoxicity. Specific topics discussed: What is the role of these drugs in the current era and what are their side effects? Are there certain strategies to mitigate the risk of cardiotoxicity? How do you treat patients who do develop cardiotoxicity? Is any long-term follow-up needed? Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV. NEW 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.

    Clean
    View Details

  • Mayo Clinic Radio on Cancer: Understanding clinical trials

    12/13/2016

    On this podcast, Referral Coordinator at Mayo Clinic, Toni Mangskau, explains clinical trials.

    Clean
    View Details

  • Treating Heart Failure in Adults with Congenital Heart Disease: Mechanical Support

    06/06/2023

    Treating Heart Failure in Adults with Congenital Heart Disease: Mechanical Support 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.  

    Clean
    View Details

Similar Podcasts

No similar podcasts found

Episode Description

Understanding ECG Waveforms: Normal vs. Abnormal

Guest: Dr. Peter van Dam

Host: Anthony H. Kashou, M.D. 

 

The ECG interpretation is majorly driven by event detection, i.e. QRS onset and end, QT time, P wave etc. From these we can determine the normal heart rhythm, and some performance measures, like heart rate etc. The ECG waveforms, however, are much less understood. This is a pity, as ECG waveforms, provide instantaneous information on the electrophysiological and structural function of the heart. In this respect it is interesting to know if there is something like a normal ECG waveform or normal PathECG (CineECG). This latter technique is a vector-based method to estimate the electrical position of a moving vector within the heart. Similar normal distributions can be created to compare to the normal ECGs.

 

Topics Discussed
  • How can we define a normal ECG waveform? (ECGs from healthy normal people for different age groups, I used about 6000 normal ECGs, correction for heart rate by resampling to standard QT time (400 ms for instance, these ECGs can be used to create a distribution of amplitudes and derived signals (CineECG) to compare an ECG too)
  • What is needed for an accurate waveform comparison? (Good baseline correction, not filtering, but baseline correction) What is the onset and end of the P-wave, QRS and T wave?)
  • Are normal ECGs waveforms different from abnormal ECG waveforms? (Of course they overlap, describe left bundle branch block, or ischemia, with long QRS or deviating ST segment )
  • Did you use this method to classify ECGs as normal or abnormal? (results from our study (manuscript in preparation) that any QRST sequence in an ECG can be classified as abnormal with an accuracy (AUC) of more than 81%. In our study population 15% of the patients had only atrial related abnormal ECGS)

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.

Discussion (0)

Be respectful and constructive in your comments

No comments yet

Be the first to share your thoughts about this episode!