Predicting Emergent Behavior in Cardiac Tissue: A Grand Challenge

Date: Wednesday, June 29, 2011
Speaker: Radu Grosu
Venue: IST Austria
Notes:

Mondi 2

Cardiac disorders such as tachycardia and fibrillation, are spatial-temporal behaviors of cardiac-cell networks, which correspond to the build-up and break-up of electrical spiral-waves, respectively, and which emerge in certain conditions. To understand and predict these conditions, mathematical models of cardiac cells (mostly differential equations models) have been constructed, which range from 4 to 67 variables and from 27 to 94 associated parameters. The main tool for the analysis of such models is simulation. In this talk I will address the challenges and opportunities associated with the techniques that go beyond simulation, such as model checking and parameter-range identification.

Posted in RiSE Seminar