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SHR Neuro Cancer Cardio Lipid Metab Microb

Chamakuri, N; Kunisch, K; Plank, G.
PDE constrained optimization of electrical defibrillation in a 3D ventricular slice geometry.
Int J Numer Method Biomed Eng. 2016; 32(4):e02742-e02742 Doi: 10.1002/cnm.2742
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Co-authors Med Uni Graz
Plank Gernot
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Abstract:
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. Copyright © 2015 John Wiley & Sons, Ltd.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Computer Simulation -
Electric Countershock -
Heart Ventricles - anatomy & histology
Imaging, Three-Dimensional -
Models, Cardiovascular -
Numerical Analysis, Computer-Assisted -

Find related publications in this database (Keywords)
electrophysiology
regularized Mitchell-Schaeffer model
cardiac arrhythmia
bidomain model
PDE constraint optimization
finite element method
second-order optimization methods
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