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
Link To Document :
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