A computer model simulating activation spread in healed myocardial infarction showed local conduction delay at bifurcating bundles, with activation sequences best constructed using Laplacian signals.
Activation sequences at a microscopic level in healed myocardial infarction can best be constructed on the basis of Laplacian signals to understand extracellular electrograms at pivoting points.
Conduction delay in healed myocardial infarction, facilitating reentry, is frequently based on an increased path length the activation has to travel in a matrix of merging and diverging bundles that survive in the infarcted area. Additional delay occurs at sites where bundles bifurcate. The purpose of this study was to investigate conduction delay at sites where bundles bifurcate. A computer model was developed to simulate spread of activation in a two-dimensional sheet of excitable elements. A structure consisting of two isolated bundles merging into a single one was modeled. Extracellular electrograms calculated in the model were comparable to electrograms obtained in a superfused infarcted papillary muscle model. A zone of crowded isochrones or local conduction delay was found at the site where an isolated bundle bifurcated. The position of the isochrones in this area depended on the way activation times were determined. Lines of activation delay were mainly perpendicular to the fiber direction. In conclusion, the results have enabled us to better understand extracellular electrograms at pivoting points and show that activation sequences at a microscopic level can best be constructed on the basis of Laplacian signals.
Maglaveras et al. (Sun,) conducted a other in Healed myocardial infarction. Computer model of activation spread vs. Superfused infarcted papillary muscle model was evaluated on Conduction delay at bifurcating bundles. A computer model simulating activation spread in healed myocardial infarction showed local conduction delay at bifurcating bundles, with activation sequences best constructed using Laplacian signals.