Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Electrocardiographic arrhythmia risk testing.

Gregory Engel1, James G Beckerman, Victor F Froelicher

  • 1Stanford University, Stanford, CA, USA.

Current Problems in Cardiology
|June 12, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Harmonizing standards and resources for the medical genome.

Nature·2026
Same author

Student and Teacher Attitudes Toward a School-Based Firearm Injury Prevention Presentation in Washington State.

The Journal of school health·2026
Same author

Population-scale detection of methylation outliers from long-read genome sequencing.

medRxiv : the preprint server for health sciences·2026
Same author

Correction to: The Natural History of Massive Left Ventricular Hypertrophy in Pediatric Hypertrophic Cardiomyopathy: A Multiregistry Analysis.

Circulation·2026
Same author

Ensilication preserves high-molecular weight native DNA for clinical long-read sequencing.

Genome biology·2026
Same author

Grounding Language Models in Behavioral Science to Scale Physical Activity Interventions for Hispanic/Latinx Populations.

medRxiv : the preprint server for health sciences·2026

Identifying patients at high risk for sudden cardiac death is crucial. Current noninvasive electrocardiographic (ECG) techniques lack definitive evidence for widespread use, suggesting a combination approach is needed for better risk stratification.

Area of Science:

  • Cardiology
  • Electrophysiology

Background:

  • Sudden cardiac death (SCD) risk stratification is a significant clinical challenge.
  • Automatic implantable cardioverter-defibrillators (AICDs) are indicated for high-risk patients, but noninvasive methods for identifying these individuals are not well-established.

Purpose of the Study:

  • To review and evaluate various electrocardiographic (ECG) techniques for assessing arrhythmia risk.
  • To determine the potential of noninvasive methods in identifying patients at high risk for sudden death.

Main Methods:

  • Review of resting ECG parameters: premature ventricular contractions, QRS duration, damage scores, QT dispersion, ST-T wave abnormalities.
  • Evaluation of T wave alternans, signal-averaged ECGs for late potentials, and heart rate variability analysis.

Related Experiment Videos

Main Results:

  • No single noninvasive ECG technique provides unequivocal evidence for widespread clinical adoption in risk stratification.
  • Further research is required to validate the efficacy of these noninvasive methods.

Conclusions:

  • A combination of noninvasive risk evaluation techniques is likely to offer the greatest predictive power.
  • Integrated risk assessment strategies may improve the identification of patients who would benefit from device therapy, such as AICDs.