Reconstruction of myocardial infarction using the improved spatio-temporal MAP-based regularization

Myocardial infarction is one of the leading causes of morbidity and mortality in the western world. In the present investigation the statistical information about different infarctions was extracted from the results of forward simulations on a personalized electrophysiological model of the patient and then implied into the improved spatio-temporal Maximum a posteriori (MAP) based estimator. Using this estimator the transmembrane voltage (TMV) distributions in the heart were reconstructed from both the simulated and measured pathological ECGs on the body surface, in which the site and size of myocardial infarctions could be clearly identified. This way the diagnosis of myocardial infarction can be improved.