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CARMEN Research team
Modélisation et calculs pour l'électrophysiologie cardiaque
- Leader : Yves Coudiere
- Type : team
- Research center(s) : Bordeaux
- Field : Computational Sciences for Biology, Medicine and the Environment
- Theme : Observation, Modeling, and Control for Life Sciences
Team presentation
The team Carmen develops some models and numerical methods in order to simulate the propagation of the cardiac action potential, from the cellular scale to the scale of the body. It aims at improving:- our knowledge and the treatment of electrical cardiac pathologies;
- the exploitation of all available electrical signals.
Research themes
- New models for the propagation of the cardiac action potential: multiscale approaches, coupling between systems of partial differential equations.
- Numerical analysis for reaction-diffusion equations, error estimates, high order methods, preconditionning.
- Using numerical simulation to explore the behavior of the models.
- Inverse problems in electrocardiology.
International and industrial relations
- Institut du Thorax, INSERM U915, Nantes.
- LMJL, UMR 6629 CNRS-UN-ECN, Nantes.
- CNR-IMATI, Pavia, Italy.
- Department of Mathematics and Statistic, University of Ottawa, Canada.
Keywords: Cardiac electrophysiology Scientific computing Numerical analysis Modelling
Research teams of the same theme :
- BANG - Nonlinear Analysis for Biology and Geophysical flows
- BIGS - Biology, genetics and statistics
- BIOCORE - Biological control of artificial ecosystems
- DRACULA - Multi-scale modelling of cell dynamics : application to hematopoiesis
- MACS - Modeling, analysis and control in computational structural dynamics
- MASAIE - Tools and models of nonlinear control theory for epidemiology and immunology
- MODEMIC - Modelling and Optimisation of the Dynamics of Ecosystems with MICro-organisme
- NUMED - Numerical Medicine
- REO - Numerical simulation of biological flows
- SISYPHE - SIgnals and SYstems in PHysiology & Engineering
- VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
Contact
Team leader
Yves Coudiere
Tel.: +33 5 24 57 40 36
Secretariat
Tel.: +33 5 24 57 41 74
Inria
Inria.fr
Inria Channel

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