Parallelized convex optimization for joint time/space inverse electrocardiography

In previous work the authors have proposed an admissible solution formulation of the inverse problem of electrocardiography to be able to include a wide variety of prior constraints. One disadvantage is increased computational complexity, as solution methods are iterative. The computation problem is a bottleneck if both spatial and temporal constraints are used. In this work the authors discuss parallelization of the optimization problem to include temporal constraints