title: Analysis of the criteria of activation-based inverse electrocardiography using convex optimization.
abstract: In inverse electrocardiography (ECG), the problem of finding activation times on the heart noninvasively from body surface potentials is typically formulated as a nonlinear least squares optimization problem. Current solutions rely on iterative algorithms which are sensitive to the presence of local minima. As a result, improved initialization approaches for this problem have been of considerable interest. However, in experiments conducted on a subject with Wolff-Parkinson-White syndrome, we have observed that there may be a mismatch between favorable solutions of the optimization problem and solutions with the desired physiological characteristics. In this work, we use a method based on a convex optimization framework to explore the solution space and analyze whether the optimization criteria target their intended objective.
authors.affiliation: Dept of ECENortheastern Univ, CDSP Center, Boston, MA, USA. berem@ece.neu.edu
authors.forename: Burak
authors.initials: B
authors.lastname: Erem
authors.forename: Peter M
authors.initials: PM
authors.lastname: van Dam
authors.forename: Dana H
authors.initials: DH
authors.lastname: Brooks
mesh_terms: D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D014927:Wolff-Parkinson-White Syndrome / Q000503:physiopathology*