You can now perform supercomputer simulations of the heart’s electrophysiology in real time on desktop computers and even cellphones. A team of scientists from Rochester Institute of Technology and Georgia Tech developed a new approach that can not only help diagnose heart conditions and test new treatments; but pushes the boundaries of cardiac science by opening up a floodgate of new cardiac research and education.

Treatment of heart problems

This opens up a lot of new research opportunities, including for RIT undergraduates, said Elizabeth Cherry, associate professor and director of RIT’s; so mathematical modeling program and co-author of a new Science Advances article that introduces the new methodology. They felt really restricted in what they could ask undergraduates to do in Research Experiences for Undergraduates; for programs or even our full-time students because the previous supercomputer simulations took so long.

But now they can work with these complex models in real-time; so it opens up a whole new world of opportunities to what they can study. In hospital settings, the real-time models could allow doctors to have better discussions with their patients about life-threatening heart conditions. This visualization can be very useful for doctors to address a variety of cardiac problems, said Abouzar Kaboudian, a research scientist at Georgia Tech and co author.

Structural data for a particular patient

For example, a doctor can see what would happen if a pacemaker was placed on a particular location of the heart. Or, if the structure from CT scan data was available to a doctor; so they could import the structural data for a particular patient and see what would cause an arrhythmia; also what would be the course of action to eliminate the arrhythmia.

The novel approach relies on using WebGL code to repurpose graphics cards to perform calculations that speed up the scientific computing applications. The researchers developed a library that allows for high-performance; so computing of complex problems that require large-scale simulations to run them. Their streamlined methodology allows users to solve problems as fast as a supercomputer in web browsers that they are already familiar with.

This opens the door to the possibility of doing patient-specific modeling in a reasonable way; hence said co-author Flavio Fenton, professor of physics at Georgia Tech. There are many problems related to trying to solve these complex models; so for clinical use, but one of the big bottlenecks was performing these high-performance computing; so real-time simulations of complex models of the heart. Now they can be done.