title: Measuring defibrillator surface potentials for simulation verification.
abstract: Though implantable cardioverter defibrillators (ICDs) are increasing in use in both adults and children, little progress has been devoted to optimizing device and electrode placement. To facilitate effective ICD placement, especially in pediatric cases, we have developed a predictive model that evaluates the efficacy of a delivered shock. We have also developed an experimental validation approach based on measurements from clinical cases. The approach involves obtaining body surface potential maps of ICD discharges during implantation surgery using a limited lead selection and body surface estimation algorithm. Comparison of the simulated and measured potentials yielded very similar patterns and a typical correlation greater than 0.93, suggesting that the predictive simulation generates realistic potential values. This validation approach provides confidence in application of the simulation pipeline and offers areas to focus future improvements.
authors.affiliation: Department of Bioengineering, University of Utah, Salt Lake City, UT 84112, USA. jess@sci.utah.edujess@sci.utah.edu
authors.forename: Jess
authors.initials: J
authors.lastname: Tate
authors.forename: Jeroen
authors.initials: J
authors.lastname: Stinstra
authors.forename: Thomas
authors.initials: T
authors.lastname: Pilcher
authors.forename: Ahrash
authors.initials: A
authors.lastname: Poursaid
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Saarel
authors.forename: Rob
authors.initials: R
authors.lastname: MacLeod
mesh_terms: D000465:Algorithms; D018780:Body Surface Potential Mapping / Q000379:methods*; D003198:Computer Simulation; D017147:Defibrillators, Implantable; D006801:Humans; D008955:Models, Cardiovascular; D013813:Therapy, Computer-Assisted / Q000379:methods*