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Related Experiment Videos

A quantitative framework for analyzing epicardial activation patterns during ventricular fibrillation

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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A new framework quantifies ventricular fibrillation (VF) patterns using electrode data. This analysis reveals evolving wavefront dynamics, showing increased organization during the initial minute of VF.

Area of Science:

  • Cardiac Electrophysiology
  • Computational Cardiology
  • Medical Imaging and Signal Processing

Background:

  • Quantitative analysis of activation patterns during ventricular fibrillation (VF) is limited.
  • Understanding VF dynamics is crucial for assessing interventions and disease progression.
  • Existing methods lack detailed quantification of wavefront interactions.

Purpose of the Study:

  • To develop a novel framework for quantifying VF activation patterns.
  • To analyze the evolution of VF complexity over time using quantitative parameters.
  • To assess the impact of time on VF organization.

Main Methods:

  • Utilized an array of approximately 500 unipolar electrodes to map VF.
  • Developed an algorithm to isolate individual activation wavefronts based on electrogram characteristics (dV/dt < -0.5 V/sec).

Related Experiment Videos

  • Modeled wavefront interactions (fractionations and collisions) as a directed graph to derive parameters like wavefront number, size, area, and duration.

    • Main Results:

    • Quantified VF dynamics in pigs at 5, 10, 15, and 20 seconds post-induction.
    • Observed a decrease in the number of wavefronts and collisions over time.
    • Found an increase in mean wavefront size and area swept out, indicating evolving organization.

    Conclusions:

    • The developed framework provides quantitative measures of VF patterns.
    • Results demonstrate increasing VF organization within the first minute, consistent with prior research.
    • This approach offers potential for evaluating time-dependent effects of drugs or interventions on VF.