title: A comparison of two methods for choosing the regularization parameter for the inverse problem of electrocardiography.
abstract: 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.
authors.affiliation: University of Nebraska, Lincoln, NE, USA.
authors.forename: David A
authors.initials: DA
authors.lastname: Lowther
authors.forename: Robert D
authors.initials: RD
authors.lastname: Throne
authors.forename: Lorraine G
authors.initials: LG
authors.lastname: Olson
authors.forename: John R
authors.initials: JR
authors.lastname: Windle
mesh_terms: D000465:Algorithms; D000818:Animals; D018780:Body Surface Potential Mapping; D004562:Electrocardiography; D008955:Models, Cardiovascular; D012815:Signal Processing, Computer-Assisted; D013552:Swine