000069682 001__ 69682
000069682 005__ 20190529115234.0
000069682 0247_ $$2doi$$a10.22489/CinC.2017.060-109
000069682 0248_ $$2sideral$$a105205
000069682 037__ $$aART-2017-105205
000069682 041__ $$aeng
000069682 100__ $$0(orcid)0000-0001-5175-3166$$aFernández-Bes
000069682 245__ $$aIdentification of Parameters describing Phenomenological Cardiac Action Potential Models using Sigma-Point Methods
000069682 260__ $$c2017
000069682 5060_ $$aAccess copy available to the general public$$fUnrestricted
000069682 5203_ $$aPhenomenological action potential (AP) models allow reproducing characteristic features of cardiomyocytes’ electrical activity without fully describing the underlying biophysics, thus being very useful for whole-heart electrophysiological simulations. Methods to identify the parameter values of phenomenological models commonly attempt to reproduce specific AP properties rather than the whole AP waveform. In this work we propose the use of a sequential estimation approach based on sigma-point filters to adjust such parameters. The proposed methodology has been tested in estimating the parameters of the phenomenological Bueno-Cherry-Fenton model to replicate the APs generated with in silico models as well as experimentally measured APs. With the new method the whole AP waveforms can be reproduced more accurately than with previous parameter fitting methods and the AP duration restitution curves are in better agreement with available experimental data.
000069682 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 638284-MODELAGE$$9info:eu-repo/grantAgreement/EC/H2020/638284/EU/Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface/MODELAGE$$9info:eu-repo/grantAgreement/ES/DGA/T96$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R
000069682 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000069682 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000069682 700__ $$aJesús
000069682 700__ $$0(orcid)0000-0002-1960-407X$$aSampedro-Puente$$uUniversidad de Zaragoza
000069682 700__ $$aDavid, Alfonso
000069682 700__ $$aPueyo
000069682 700__ $$aEsther
000069682 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000069682 773__ $$g44 (2017), [4 pp]$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000069682 8564_ $$s671824$$uhttps://zaguan.unizar.es/record/69682/files/texto_completo.pdf$$yPostprint
000069682 8564_ $$s111299$$uhttps://zaguan.unizar.es/record/69682/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000069682 909CO $$ooai:zaguan.unizar.es:69682$$particulos$$pdriver
000069682 951__ $$a2019-05-29-11:44:01
000069682 980__ $$aARTICLE