A theoretical model of the high-frequency arrhythmogenic depolarization signal following myocardial infarction

Adam Kapela, Anastasios Bezerianos

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Theoretical body-surface potentials were computed from single, branching and tortuous strands of Luo-Rudy dynamic model cells, representing different areas of an infarct scar. When action potential (AP) propagation either in longitudinal or transverse direction was slow (3-12 cm/s), the depolarization signals contained high-frequency (100-300 Hz) oscillations. The frequencies were related to macroscopic propagation velocity and strand architecture by simple formulas. Next, we extended a mathematical model of the QRS-complex presented in our earlier work to simulate unstable activation wavefront. It combines signals from different strands with small timing fluctuations relative to a large repetitive QRS-like waveform and can account for dynamic changes of real arrhythmogenic micropotentials. Variance spectrum of wavelet coefficients calculated from the composite QRS-complex contained the high frequencies of the individual abnormal signals. We conclude that slow AP propagation through fibrotic regions after myocardial infarction is a source of high-frequency arrhythmogenic components that increase beat-to-beat variability of the QRS, and wavelet variance parameters can be used for ventricular tachycardia risk assessment.

Original languageEnglish (US)
Pages (from-to)1915-1922
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume51
Issue number11
DOIs
StatePublished - Nov 2004
Externally publishedYes

Keywords

  • Myocardial infarction
  • QRS variability
  • Theoretical ECG
  • Wavelet analysis

ASJC Scopus subject areas

  • Biomedical Engineering

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