Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw 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
Web of Science
PubMed
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- Co-Autor*innen der 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