@inbook{8315a5ab3d0c479281c14699cb6dd886,
title = "Personalization of atrial electrophysiology models from decapolar catheter measurements",
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.",
keywords = "Computational models personalization, Electrograms, Multi-electrode catheters",
author = "Cesare Corrado and Steven Williams and Henry Chubb and Mark O{\textquoteright}neill and Niederer, {Steven A.}",
year = "2015",
month = jun,
day = "21",
doi = "10.1007/978-3-319-20309-6_3",
language = "English",
isbn = "9783319203089",
volume = "9126",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Berlin Heidelberg",
pages = "21--28",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 ; Conference date: 25-06-2015 Through 27-06-2015",
}