• DocumentCode
    1137270
  • Title

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

  • Author

    Kapela, Adam ; Bezerianos, Anastasios

  • Author_Institution
    Dept. of Med. Phys., Univ. of Patras, Rion-Patras, Greece
  • Volume
    51
  • Issue
    11
  • fYear
    2004
  • Firstpage
    1915
  • Lastpage
    1922
  • 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.
  • Keywords
    bioelectric potentials; electrocardiography; medical signal processing; muscle; physiological models; wavelet transforms; 100 to 300 Hz; 3 to 12 cm/s; Luo-Rudy dynamic model cells; QRS-complex; action potential propagation; beat-to-beat variability; high-frequency arrhythmogenic depolarization signal; infarct scar; myocardial infarction; theoretical body-surface potentials; unstable activation wavefront; ventricular tachycardia risk assessment; wavelet variance parameters; Electrocardiography; Fluctuations; Frequency; Mathematical model; Myocardium; Pathology; Physics; Risk management; Timing; Wavelet coefficients; Arrhythmias, Cardiac; Body Surface Potential Mapping; Diagnosis, Computer-Assisted; Heart Conduction System; Humans; Models, Cardiovascular; Models, Neurological; Myocardial Infarction; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2004.834277
  • Filename
    1344194