A comparison of two methods for choosing the regularization parameter for the inverse problem of electrocardiography

We have previously compared both generalized eigensystem (GES) and Tikhonov regularization methods for estimating epicardial potentials from measured body surface potentials. Both of these methods require the choice of a regularization parameter. In this study we compare two methods for choosing this parameter: the Composite Residual Error and Smoothing Operator (CRESO) method, and a new Zero Crossing (ZC) method. We compared both CRESO and ZC methods for zero and first order GES and Tikhonov regularization methods on a swine model and found that the ZC method sometimes produces smaller errors, but only for small noise levels.