Review of regularization techniques in electrocardiographic imaging

摘要: Regularization methodologies are an integral part in dealing with ill-posedness of inverse problem electrocardiograhy, expressed terms potential distribution on the epicardium. In order to systematically evaluate various regularization techniques under controlled conditions, we employed progressively more complex idealized source models (from single dipole triplet dipoles) calculate body surface potentials, which served as input data problem. total, examined, 13 different and found that non-quadratic methods (total variation algorithms) first-order second-order Tikhonov regularizations outperformed other methodologies.