title: Applicability of the single equivalent moving dipole model in an infinite homogeneous medium to identify cardiac electrical sources: a computer simulation study in a realistic anatomic geometry torso model.
abstract: We have previously proposed an inverse algorithm for fitting potentials due to an arbitrary bio-electrical source to a single equivalent moving dipole (SEMD) model. The algorithm achieves fast identification of the SEMD parameters by employing a SEMD model embedded in an infinite homogeneous volume conductor. However, this may lead to systematic error in the identification of the SEMD parameters. In this paper, we investigate the accuracy of the algorithm in a realistic anatomic geometry torso model (forward problem). Specifically, we investigate the effect of measurement noise, dipole position and electrode configuration in the accuracy of the algorithm. The boundary element method was used to calculate the forward potential distribution at multiple electrode positions on the body surface due to a point dipole in the heart. We have found that the position and not the number of electrodes as well as the site of the origin of the arrhythmia in the heart have a significant effect on the accuracy of the inverse algorithm, while the measurement noise does not. Finally, we have shown that the inverse algorithm preserves the topology of the source distribution in the heart, thus potentially allowing the cardiac electrophysiologist to efficiently and accurately guide the tip of the catheter to the ablation site.
authors.affiliation: School of Biomedical Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan. fukuoka.bsm@tmd.ac.jp
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Fukuoka
authors.forename: Thom F
authors.initials: TF
authors.lastname: Oostendorp
authors.forename: Derin A
authors.initials: DA
authors.lastname: Sherman
authors.forename: Antonis A
authors.initials: AA
authors.lastname: Armoundas
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D018780:Body Surface Potential Mapping / Q000379:methods*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D006329:Heart Conduction System / Q000033:anatomy & histology* / Q000502:physiology*; D006801:Humans; D008953:Models, Anatomic; D008955:Models, Cardiovascular; D010496:Pericardium / Q000033:anatomy & histology* / Q000502:physiology*; D013909:Thorax / Q000502:physiology