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Personalization of atrial electrophysiology models from decapolar catheter measurements

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag Berlin Heidelberg
Pages21-28
Number of pages8
Volume9126
ISBN (Print)9783319203089, 9783319203089
DOIs
Publication statusPublished - 21 Jun 2015
Event8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 - Maastricht, Netherlands
Duration: 25 Jun 201527 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9126
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015
CountryNetherlands
CityMaastricht
Period25/06/201527/06/2015

King's Authors

Abstract

A novel method to characterize biophysical atria regional ionic models from multi-electrode catheter measurements and tailored pacing protocols is presented. Local atria electrophysiology was described by the Mitchell and Schaeffer 2003 action potential model. The pacing protocol was evaluated using simulated bipolar signals from a decapolar catheter in a model of atrial tissue. The protocol was developed to adhere to the constraints of the clinical stimulator and extract the maximum information about local electro-physiological properties solely from the time the activation wave reaches each electrode. Parameters were fitted by finding the closest parameter set to a data base of 3125 pre computed solutions each with different parameter values. This fitting method was evaluated using 243 randomly generated in silico data sets and yielded a mean error of ±10.46% error in estimating model parameters.

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