Evaluation of Severity of Cardiac Ischemia Using In Silico ECG Computed From 2D Reaction Diffusion Model

Abstract

This study focuses on the analysis of the bioelectrical activity of the left ventricle using a 2D Bueno-Orovio-Fenton-Cherry monodomain reaction diffusion model. ECGs signals are simulated for normal and ischemic conditions of varying severity. Changes in ischemia are examined in a single precordial lead as the size of the ischemic area increases in various locations. Analyzing this single lead ECG, we determine the ratio between ST deviation and T-wave amplitude and establish a threshold sufficient for monitoring acute ischemic event. This method may be potentially implemented to predict sudden cardiac death.