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

Four digital algorithms for activation detection from unipolar epicardial electrograms.

S M Blanchard, W M Smith, R J Damiano

    IEEE Transactions on Bio-Medical Engineering
    |February 1, 1989
    PubMed
    Summary

    The 17-point algorithm accurately detects cardiac activation from electrograms, though distant signals can cause slight delays. The five-point algorithm offers a faster alternative with minimal accuracy loss.

    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

    Measurement of DNA damage and repair capacity as a function of age using the comet assay.

    Methods in molecular medicine·2012
    Same author

    Multidisciplinary management of Hunter syndrome.

    Pediatrics·2009
    Same author

    [Mechanisms of electrical defibrillation].

    Herzschrittmachertherapie & Elektrophysiologie·2009
    Same author

    [Not Available].

    Herzschrittmachertherapie & Elektrophysiologie·2009
    Same author

    Epicardial wavefronts arise from widely distributed transient sources during ventricular fibrillation in the isolated swine heart.

    New journal of physics·2008
    Same author

    [Transvenous parasympathetic nerve stimulation in the chronic myocardial infarction phase].

    Zeitschrift fur Kardiologie·2004

    Area of Science:

    • Biomedical Engineering
    • Computational Electrophysiology
    • Cardiac Signal Processing

    Background:

    • Accurate detection of cardiac activation times is crucial for understanding heart function and diagnosing arrhythmias.
    • Various algorithms exist to calculate maximum derivatives from electrograms, but their reproducibility can be affected by signal characteristics.

    Purpose of the Study:

    • To evaluate the reproducibility of four different algorithms for calculating maximum derivatives in detecting cardiac activation.
    • To compare the performance of these algorithms using right ventricular unipolar epicardial electrograms under varying activation conditions.

    Main Methods:

    • Tested four algorithms: 17-point second-order data fit, first-order difference, three-point Lagrange derivative, and five-point second-order data fit.

    Related Experiment Videos

  • Utilized sequential paced beats of right ventricular electrograms representing local or synchronous biventricular activation.
  • Evaluated algorithm performance by comparing beat shapes, activation interval differences, and the impact of superimposed distant potentials.

    • Main Results:

    • The 17-point second-order data fit algorithm demonstrated slightly superior performance compared to the other tested methods.
    • Activation time selection using the 17-point technique was marginally delayed by superimposed distant potentials.
    • The five-point second-order data fit algorithm showed only slight decreases in accuracy while requiring fewer data points.

    Conclusions:

    • The 17-point second-order data fit algorithm is recommended for robust cardiac activation detection.
    • For applications where computation time is critical, the five-point second-order data fit algorithm provides a viable alternative with acceptable accuracy.
    • Understanding the influence of distant potentials is important for optimizing activation detection algorithms.