M3DISIM participates in new Master's in biomechanical engineering

The Biomechanical Engineering Master is a second-year (M2) specialty program of the University of Paris-Saclay Master of Mechanics. The aim of the program is to provide students with specialization in the application of mechanics to biological and biomedical systems. All instruction is in English and is delivered by a group Continue ReadingM3DISIM participates in new Master's in biomechanical engineering

Application of cardiac modeling to optimize pacemaker strategies in Cardiac Resynchronisation Therapy

Cardiac resynchronisation therapy (CRT) is an effective treatment for patients with congestive heart failure and a wide QRS complex. However, up to 30% of patients are non-responders to the pacemaker implant in terms of exercise capacity or left ventricular reverse remodelling. A number of controversies still remain surrounding patient selection, Continue ReadingApplication of cardiac modeling to optimize pacemaker strategies in Cardiac Resynchronisation Therapy

State observers for the wave or elasticity equations in bounded domains

We consider a second-order hyperbolic equation in a bounded domain, for example the wave equation or the elasticity system. On this system we assume that the initial condition is unknown, but that we have at our disposal some measurements in time on the solution. Typically, for the wave equation we Continue ReadingState observers for the wave or elasticity equations in bounded domains

Joint state and parameter sequential estimation for PDEs

Our objective is to address a large class of identification problems for PDEs with original methods coming from observer - also called sequential estimator - methods. In fact, in identification the most widely used method consists in minimizing a least-square functional involving a data discrepancy term and some regularization terms. Continue ReadingJoint state and parameter sequential estimation for PDEs

Data assimilation in fluid-structure interaction - Application to the cardiovascular system

This joint work with Charles Taylor's Lab at Stanford and the Reo team at Inria Paris-Rocquencourt was initiated with the objective of applying data assimilation strategies to produce patient-specific simulations of a section of the arterial tree. We focused on a healthy patient for which the main difficulty was to Continue ReadingData assimilation in fluid-structure interaction - Application to the cardiovascular system