  The interplay between structural and electrical changes in the heart after
myocardial infarction (MI) plays a key role in the initiation and maintenance
of arrhythmia. The anatomical and electrophysiological properties of scar,
border zone, and normal myocardium modify the electrocardiographic morphology,
which is routinely analysed in clinical settings. However, the influence of
various MI properties on the QRS is not intuitively predictable.In this work,
we have systematically investigated the effects of 17 post-MI scenarios,
varying the location, size, transmural extent, and conductive level of scarring
and border zone area, on the forward-calculated QRS. Additionally, we have
compared the contributions of different QRS score criteria for quantifying
post-MI pathophysiology.The propagation of electrical activity in the
ventricles is simulated via a Eikonal model on a unified coordinate system.The
analysis has been performed on 49 subjects, and the results imply that the QRS
is capable of identifying MI, suggesting the feasibility of inversely
reconstructing infarct regions from QRS.There exist sensitivity variations of
different QRS criteria for identifying 17 MI scenarios, which is informative
for solving the inverse problem.
