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