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Related Experiment Videos

Recurrent wavefront morphologies: a method for quantifying the complexity of epicardial activation patterns

J M Rogers1, M Usui, B H KenKnight

  • 1Department of Medicine, University of Alabama, Birmingham 35294-0019, USA.

Annals of Biomedical Engineering
|September 23, 1997
PubMed
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We developed a method to quantify ventricular fibrillation (VF) complexity using wavefront multiplicity (M). In pigs, M decreased over time, indicating increasing cardiac rhythm organization during VF.

Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Computational Biology

Background:

  • Ventricular fibrillation (VF) is a life-threatening cardiac arrhythmia characterized by disorganized electrical activity.
  • Quantifying the complexity of VF activation patterns is crucial for understanding its dynamics and developing effective treatments.
  • Previous methods for analyzing epicardial mapping data have limitations in capturing the full complexity of VF.

Purpose of the Study:

  • To develop and validate a novel method for quantifying the complexity of ventricular fibrillation (VF) activation patterns.
  • To introduce 'multiplicity' (M) as a metric for assessing the degree of organization within VF.
  • To evaluate the temporal changes in VF complexity in an animal model.

Main Methods:

Related Experiment Videos

  • Acquisition of high-resolution epicardial mapping data (21x24 unipolar electrodes) during VF in pigs.
  • Isolation of individual wavefronts from the mapping data.
  • Utilizing a correlation technique to cluster similar wavefront morphologies and calculating multiplicity (M) as the number of clusters representing 90% of activations.

    • Main Results:

    • The developed method successfully quantified VF complexity using multiplicity (M).
    • A significant decrease in M was observed over time (5-20 seconds) after VF induction in pigs (p < 0.001).
    • This decrease in M suggests an increase in cardiac rhythm organization during the course of VF.

    Conclusions:

    • Multiplicity (M) provides a robust measure of VF complexity and cardiac rhythm organization.
    • The findings indicate that VF patterns tend to become more organized over time in this porcine model.
    • This quantitative approach can enhance the understanding of VF dynamics and potentially guide therapeutic strategies.