120 citations · 292 across the 16 of their papers we have counts for
5 papers · 1 filter
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
Matteo Salvador, Francesco Regazzoni, Stefano Pagani +3
Mechano-electric feedbacks (MEFs), which model how mechanical stimuli are transduced into electrical signals, have received sparse investigation by considering electromechanical si…
A machine learning method for real-time numerical simulations of cardiac electromechanics
Francesco Regazzoni, Matteo Salvador, Luca Dedè +1
We propose a machine learning-based method to build a system of differential equations that approximates the dynamics of 3D electromechanical models for the human heart, accounting…
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics
Roberto Piersanti, Francesco Regazzoni, Matteo Salvador +4
Two crucial factors for accurate numerical simulations of cardiac electromechanics, which are also essential to reproduce the synchronous activity of the heart, are: i) accounting…
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia
Matteo Salvador, Marco Fedele, Pasquale Claudio Africa +6
We developed a novel patient-specific computational model for the numerical simulation of ventricular electromechanics in patients with ischemic cardiomyopathy (ICM). This model re…
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
Matteo Salvador, Luca Dede', Andrea Manzoni
We propose a nonlinear reduced basis method for the efficient approximation of parametrized partial differential equations (PDEs), exploiting kernel proper orthogonal decomposition…