Paper Info
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.
Year
DOI
Venue
2015
10.1007/978-3-319-20309-6_3
Lecture Notes in Computer Science
Keywords
Field
DocType
Electrograms,Computational models personalization,Multi-electrode catheters
Biomedical engineering,Catheter,Data set,Atrium (architecture),Computer science,Internal medicine,Cardiology,Mean squared error,Electrophysiology,Personalization
Conference
Volume
ISSN
Citations 
9126
0302-9743
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Cesare Corrado1113.20
Steven C R Williams224524.98
Henry Chubb394.17
Mark O'Neill410.69
Steven Niederer511920.78