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Summer 2003
Featured Publication: Combining Numerical and Physiological Constraints in Inverse Electrocardiography Yesim Serinagaoglu, Dana H. Brooks, Robert S. MacLeod The inverse problem of ECG is ill-posed and the application of suitable constraints to the calculation of cardiac sources is a persistent challenge in solving the problem. In this paper we describe Bayesian approaches to extract useful constraints from sparsely sampled epicardial signals as well as a training set of epicardial maps, and use them to improve the quality of computed inverse solutions. We also use Bayesian metrics to evaluate the results. |
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