mathematical and numerical modeling of the cardiac electromechanical coupling

Mathematical and Numerical Modeling of the Cardiac Electromechanical Coupling

Scope of the special session

The numerical simulation of the cardiac electrical and mechanical activity is a challenging task. Different multiscale and non-linear effects such as the anisotropic propagation of the electrical activation wavefront, the chemical reactions in the cellular membrane, the orthotropic fiber architecture, the constitutive laws and active tension of the cardiac tissue have to be properly taken into account. Moreover, the numerical methods required to achieve an effective simulation of such complex models need to be carefully devised and adapted to properly couple/decouple the different submodels. This special session aims at bringing together researchers in computational cardiology, focusing on the latest developments, new research directions, and applications.


  • Luca Gerardo-Giorda (Basque Center for Applied Mathematics, Spain) -
  • Simone Scacchi (University of Milan, Italy)

Abstracts and schedule

Below you can download the schedule and the abstracts of all talks of this special session.


  • Jazmin Aguado (Barcelona Supercomputing Center, Spain)

          An in-silico framework for cardiac safety drug testing: Effect of Wenxin Keli and quinidine to suppress arrhythmogenesis on a Brugada syndrome tissue model

  • Lara Charawi (University of Milan, Italy)

           Isogeometric analysis for the Bidomain model of electrocardiology

  • Piero Colli-Franzone (University of Pavia, Italy)

           Parallel solvers for cardiac electromechanics

  • Andjela Davidovic (INRIA-Bordeaux and University Bordeaux 1, France)

           Role and modelling of some heterogeneities for cardiac electrophysiology

  • Adelaide de Vecchi (King's College London, United Kingdom)

           Multi-scale modelling of ventricular dynamics in patients with congenital heart defects

  • Simone Palamara (MOX, Polytechnic Institute of Milan, Italy)

           An effective algorithm for the generation of patient-specific Purkinje networks in computational electrocardiology