"AN INVESTMENT IN KNOWLEDGE ALWAYS PAYS THE BEST INTEREST" BENJAMIN FRANKLIN
Electrocardiography (ECG) is a commonly used diagnostic method that is based on reading electrical potentials from the prescribed epicardial potentials is a well-posed forward problem and involves solving Laplaces's equation in the source-free volume between the torso and heart surface. Computation of epicardial potentials from torso potentials is the corresponding inverse problem. In our study, the two-dimensional model is manipulated to create epicardial model with inhomogeneous version. The model is separately meshed using the mesh generator tool of COMSOL package. The resulting mesh data are transferred to our Python code. In our mesh, the torso potentials are measured at 29 nodes that correspond to the locations of pericardial leads in standard ECG and in epicardial simulations, the epicardial potentials are measured at 24 nodes. Reconstruction of the epicardial potentials have been accomplished successfully with 4 different types of regularization methods named TSVD, zero order, first order and mean value Tikhonov regularizations.