iHEART SIGNED
An Integrated Heart Model for the simulation of the cardiac function
Total Cost €
0EC-Contrib. €
0Partnership
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0iHEART project word cloud
Explore the words cloud of the iHEART project. It provides you a very rough idea of what is the project "iHEART" about.
Project "iHEART" data sheet
The following table provides information about the project.
| Coordinator |
POLITECNICO DI MILANO
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Project website | http://iheart.polimi.it |
| Total cost | 2˙351˙544 € |
| EC max contribution | 2˙351˙544 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2016-ADG |
| Funding Scheme | ERC-ADG |
| Starting year | 2017 |
| Duration (year-month-day) | from 2017-12-01 to 2022-11-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | POLITECNICO DI MILANO | IT (MILANO) | coordinator | 2˙351˙544.00 |
Map
Project objective
The goal of this project is to construct, mathematically analyze, numerically approximate, computationally solve, and validate on clinically relevant cases a mathematically-based integrated heart model (IHM) for the human cardiac function. The IHM comprises several core cardiac models – electrophysiology, solid and fluid mechanics, microscopic cellular force generation, and valve dynamics – which are then coupled and finally embedded into the systemic and pulmonary blood circulations. It is a multiscale system of Partial Differential Equations (PDEs) and Ordinary Differential Equations (ODEs) featuring multiphysics interactions among the core models.
The physical and mathematical properties of each core model and those of the even more complex integrated heart model (IHM) will be analyzed. The numerical approximation of IHM develops along several steps: introduce new high order methods for the core models, carry out their stability and convergence analysis, devise new paradigms for their numerical coupling, and construct optimal, scalable, and adaptive preconditioners for the efficient solution of the resulting large-scale discrete problems. To address data variability in clinically relevant cases, new reduced order models and efficient computational techniques will be developed also for forward and inverse uncertainty quantification problems. Two software libraries, LifeHEART and RedHEART, will be built and made available to the scientific community.
The project is original, very ambitious, mathematically inspired and rigorous, tremendously challenging, and groundbreaking. If successful, it will provide researchers from applied mathematics and life sciences, cardiologists, and cardiac surgeons with a powerful tool for both the qualitative and quantitative study of cardiac function and dysfunction. iHEART has the potential to drive improvements in diagnosis and treatment for cardiovascular pathologies that are responsible for more than 45% of deaths in Europe.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
Stefano Pagani, Andrea Manzoni, Alfio Quarteroni Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method published pages: 530-558, ISSN: 0045-7825, DOI: 10.1016/j.cma.2018.06.003 |
Computer Methods in Applied Mechanics and Engineering 340 | 2019-08-29 |
| 2018 |
Antonello Gerbi, Luca Dede’, Alfio Quarteroni A monolithic algorithm for the simulation of cardiac electromechanics in the human left ventricle published pages: 1-37, ISSN: 2640-3501, DOI: 10.3934/mine.2018.1.1 |
Mathematics in Engineering 1/1 | 2019-08-06 |
| 2018 |
Luca Barbarotta, Simone Rossi, Luca Dedè, Alfio Quarteroni A transmurally heterogeneous orthotropic activation model for ventricular contraction and its numerical validation published pages: e3137, ISSN: 2040-7939, DOI: 10.1002/cnm.3137 |
International Journal for Numerical Methods in Biomedical Engineering 34/12 | 2019-08-06 |
| 2019 |
Alessandro Masci, Lorenzo Barone, Luca Dedè, Marco Fedele, Corrado Tomasi, Alfio Quarteroni, Cristiana Corsi The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study published pages: , ISSN: 1664-042X, DOI: 10.3389/fphys.2018.01938 |
Frontiers in Physiology 9 | 2019-08-06 |
| 2019 |
Luca Pegolotti, Luca Dedè, Alfio Quarteroni Isogeometric Analysis of the electrophysiology in the human heart: Numerical simulation of the bidomain equations on the atria published pages: 52-73, ISSN: 0045-7825, DOI: 10.1016/j.cma.2018.08.032 |
Computer Methods in Applied Mechanics and Engineering 343 | 2019-08-06 |
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