This computational study demonstrates the feasibility of using PDE-constrained optimization and parallel computing to model and optimize electrical defibrillation in a 3D ventricular geometry.
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Enables efficient multidomain defibrillation modeling; leaves open clinical translation pending in vivo validation.
A computational study of an optimal control approach for cardiac defibrillation in a 3D geometry is presented. The cardiac bioelectric activity at the tissue and bath volumes is modeled by the bidomain model equations. The model includes intramural fiber rotation, axially symmetric around the fiber direction, and anisotropic conductivity coefficients, which are extracted from a histological image. The dynamics of the ionic currents are based on the regularized Mitchell-Schaeffer model. The controls enter in the form of electrodes, which are placed at the boundary of the bath volume with the goal of dampening undesired arrhythmias. The numerical optimization is based on Newton techniques. We demonstrated the parallel architecture environment for the computation of potentials on multidomains and for the higher order optimization techniques.
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Kunisch et al. (2015) studied this question.
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