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> Identification of Parameters describing Phenomenological Cardiac Action Potential Models using Sigma-Point Methods
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Identification of Parameters describing Phenomenological Cardiac Action Potential Models using Sigma-Point Methods
Fernández-Bes
;
Jesús
;
Sampedro-Puente
(Universidad de Zaragoza)
;
David, Alfonso
;
Pueyo
;
Esther
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.
)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2019-05-29-11:44:01)
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Record created 2018-04-10, last modified 2019-05-29
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