title: Estimation of distance between a unipolar recording electrode and a myocardial bundle based on signal characteristics.
abstract: The aim of the present paper, is the estimation of the distance between an electrode used as a recording site of the extracellular potential field and a surviving myocardial bundle. The importance of the reliable solution of this problem lies among others in controlling ablation. For our purposes one-dimensional propagation is considered and current sources are activated along a cable simulating the propagating waves with constant velocity. Different models of current sources are explored. By use of these models, the corresponding functions expressing extracellular potentials are calculated, using the volume conductor equation. This way, extracellular potentials are modeled as parametric functions of longitudinal distance, while perpendicular distance, current source strength, and other factors related to the propagated wave are parameters of the functions. Simulated annealing is applied for model parameter estimation and appropriate Time Domain and Wavelet Domain cost functions are investigated. Different combinations of model and cost function are evaluated regarding the accuracy of distance estimation. A continuous source model function with a wavelet cost function was found to be the most accurate combination. The accuracy of distance estimation is related to the selected source model and to the actual distance of recording in a nonmonotonic way.
authors.affiliation: Lab of Medical Informatics, Medical School, Aristotelian University of Thessaloniki, Macedonia, Greece.
authors.forename: I
authors.initials: I
authors.lastname: Chouvarda
authors.forename: N
authors.initials: N
authors.lastname: Maglaveras
authors.forename: C
authors.initials: C
authors.lastname: Pappas
authors.forename: F J L
authors.initials: FJ
authors.lastname: VAN Capelle
authors.forename: J
authors.initials: J
authors.lastname: DeBakker
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004566:Electrodes; D004576:Electromyography / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D018485:Muscle Fibers, Skeletal / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*