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T-wave inversion through inhomogeneous voltage diffusion within the FK3V cardiac model.

E Angelaki1,2, N Lazarides3, G D Barmparis1

  • 1Department of Physics, and Institute of Theoretical and Computational Physics, University of Crete, Heraklion 70013, Greece.

Chaos (Woodbury, N.Y.)
|April 17, 2024
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Summary

This study models cardiac action potential propagation using the Fenton-Karma model. Damaged cardiac cells can cause T-wave inversion in simulated electrocardiograms, revealing insights into cardiovascular disease mechanisms.

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Area of Science:

  • Computational biology
  • Cardiac electrophysiology
  • Biophysics

Background:

  • Heartbeats result from synchronized cardiomyocyte contractions driven by electrical action potentials.
  • Modeling action potential propagation and its link to electrocardiograms is crucial for understanding cardiovascular diseases.

Purpose of the Study:

  • To simulate action potential propagation in cardiac tissue using the Fenton-Karma model.
  • To investigate the impact of damaged cells on electrocardiogram features, specifically T-wave inversion.

Main Methods:

  • Utilized the three-variable Fenton-Karma model for simulating action potential dynamics.
  • Incorporated a spatially inhomogeneous voltage diffusion coefficient to represent damaged cardiac cells.
  • Calculated a pseudo-electrocardiogram to analyze wave propagation and morphology.

Main Results:

  • The R-wave amplitude followed a double exponential law with respect to the diffusion coefficient.
  • Spatial inhomogeneity in the diffusion coefficient, simulating damaged cells, led to T-wave inversion in the pseudo-electrocardiogram.
  • Analyzed the transition of T-wave polarity based on the defected region's size and depth.

Conclusions:

  • The Fenton-Karma model effectively simulates action potential propagation and its clinical correlates.
  • Spatially inhomogeneous conductivity due to damaged cardiac cells can predict T-wave abnormalities.
  • This modeling approach offers a tool for studying the electrophysiological effects of cardiac damage.