Alternative generalized eigensystem vectors which minimize the epicardial surface Laplacian for a given area-weighted amplitude

The authors have previously presented the generalized eigensystem (GES) approach as an alternative to zero, first, and second order Tikhonov regularization methods for the ill-conditioned inverse problem of electrocardiography. The results from the GES methods were generally superior to those of Tikhonov regularization although first- and second-order Tikhonov regularization, which penalize the epicardial surface gradient and surface Laplacian, performed well. In this study, the authors test GES_L expansion vectors which minimize the epicardial surface gradient and surface Laplacian for a given area-weighted epicardial amplitude. Results from experimental data indicate that, although these new GES_L vectors perform better than zero-order Tikhonov regularization, they do not perform as well as the original GES vectors