Identification of Parameters describing Phenomenological Cardiac Action Potential Models using Sigma-Point Methods
Financiación H2020 / H2020 Funds
Resumen: Phenomenological 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.
Idioma: Inglés
DOI: 10.22489/CinC.2017.060-109
Año: 2017
Publicado en: Computing in Cardiology 44 (2017), [4 pp]
ISSN: 2325-8861

Financiación: info:eu-repo/grantAgreement/ES/DGA/T96
Financiación: info: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
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)
Exportado de SIDERAL (2019-05-29-11:44:01)


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 Notice créée le 2018-04-10, modifiée le 2019-05-29


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