Modelización computacional cardiaca

Bragard, J.R. ; Camara, O. ; Echebarria, B. ; Gerardo Giorda, L. ; Pueyo, E. (Universidad de Zaragoza) ; Saiz, J. ; Sebastián, R. ; Soudah, E. ; Vázquez, M.

Resumen: Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient''s response. Within this framework, the Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been launched. The general objective of the VHeart-SN network is the development of an integrated, modular and multiscale multiphysical computational model of the heart. This general objective is addressed through the following specific objectives: a) to integrate the different numerical methods and models taking into account the specificity of patients; b) to assist in advancing knowledge of the mechanisms associated with cardiac and vascular diseases; and c) to support the application of different personalized therapies. This article presents the current state of cardiac computational modelling and different scientific works conducted by the members of the network to gain greater understanding of the characteristics and usefulness of these models.

Idioma: Español

DOI: 10.1016/j.recesp.2020.05.040

Año: 2020

Publicado en: Revista Espanola de Cardiologia 74, 1 (2020), 65-71
ISSN: 0300-8932

Factor impacto JCR: 4.753 (2020)

Categ. JCR: CARDIAC & CARDIOVASCULAR SYSTEMS rank: 45 / 141 = 0.319 (2020) - Q2 - T1

Factor impacto SCIMAGO: 0.455 - Cardiology and Cardiovascular Medicine (Q3)

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/EC/H2020/823712/EU/A Centre of Excellence in Computational Biomedicine/CompBioMed2
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CEX2018-000797-S
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75799-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2016-81873-REDT
Financiación: info:eu-repo/grantAgreement/ES/MINECO/MDM-2015-0502
Financiación: info:eu-repo/grantAgreement/ES/MINECO/PID2019-105674RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO/RTI2018-093416-B-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO/RTI2018-101193-B-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO/SAF2017-88019-C3-3R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/SEV-2017-0718
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2014-59932-JIN

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)