THE EFFECTS OF ERRORS IN ASSUMED CONDUCTIVITIES AND GEOMETRY ON NUMERICAL-SOLUTIONS TO THE INVERSE PROBLEM OF ELECTROCARDIOGRAPHY

In this paper we used a previously proposed model problem to examine t he effects of inhomogeneities on four techniques for numerically solvi ng the inverse problem of electrocardiography, The layered inhomogeneo us eccentric spheres system contains three regions representing the lu ngs, muscle, and subcutaneous fat, and is numerically modeled using fi nite elements, We simulated both anterior and posterior spherical cap activation fronts, We examined inverse solutions based on zero order T ikhonov regularization, truncated singular value decomposition, our ne w generalized eigensystem approach, and a modification of the generali zed eigensystem approach, The effects on the inverse solutions of geom etrical errors, errors in the assumed conductivities, and homogeneous torso assumptions were examined.