Applying Constraints to the Electrocardiographic Inverse Problem.

Electrocardiography offers a number of interesting, challenging, and potentially very useful inverse problems. Almost all forms of the problem are extremely ill-posed so that applying constraints becomes the main focus of finding acceptable solutions. One recent approach is to employ multiple constraints to electrocardiographic inverse problems in order to apply as much of the available a priori information as possible. Most standard formalisms, however, do not facilitate multiple constraints so that new paradigms are required. I will present first an overview of the electrocardiographic inverse problems, then focus on one or two that are particularly appealing. Then I will go through some of the approaches we and other groups have used to apply multiple constraints to these problems. Finally, I will conclude with an open question that has arisen recently because of some advances in measurement technology that permits us to record directly from the source, but only at a few locations. The challenge we now have is to develop methods for effectively applying this high quality information as an additional constraint to electrocardiographic inverse problems.

PowerPoint Slides

Last update: Wed Mar 10 12:11:30 1999 by Rob MacLeod