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A feasibility study of inverse electrocardiography by convex optimization

Conventional solutions to the inverse problem of electrocardiography seek a solution based on a fixed cost function and a single constraint. In this presentation we introduce the idea of using many constraints to represent the available information about the solution and solving iteratively for an admissible solution which satisfies all the constraints.