DocumentCode
1543506
Title
The computational performance of a high-order coupled FEM/BEM procedure in electropotential problems
Author
Bradley, Chris P. ; Harris, Glen M. ; Pullan, Andrew J.
Author_Institution
Lab. of Physiol., Oxford Univ., UK
Volume
48
Issue
11
fYear
2001
Firstpage
1238
Lastpage
1250
Abstract
Presents a thorough analysis of the computational performance of a coupled cubic Hermite boundary element/finite element procedure. This C 1 (i.e., value and derivative continuous) method has been developed specifically for electropotential problems, and has been previously applied to torso and skull problems. Here, the behavior of this new procedure is quantified by solving a number of dipole in spheres problems. A detailed set of results generated with a wide range of the various input parameters (such as dipole orientation, location, conductivity, and solution method used in each spherical shell [either finite element or boundary elements]) is presented. The new cubic Hermite boundary element procedure shows significantly better accuracy and convergence properties and a significant reduction in CPU time than a traditional boundary element procedure which uses linear or constant elements. Results using the high-order method are also compared with other computational methods which have had quantitative results published for electropotential problems. In all eases, the high-order method offered a significant improvement in computational efficiency by increasing the solution accuracy for the same, or fewer, solution degrees of freedom.
Keywords
bioelectric potentials; boundary-elements methods; finite element analysis; physiological models; computational efficiency; computational performance; conductivity; coupled cubic Hermite boundary element/finite element procedure; derivative continuous method; dipole location; dipole orientation; electropotential problems; high-order coupled FEM/BEM procedure; Biological system modeling; Boundary element methods; Finite element methods; High performance computing; Mathematical model; Numerical models; Performance analysis; Skull; Testing; Torso; Biomedical Engineering; Computer Simulation; Electrocardiography; Electroencephalography; Electrophysiology; Finite Element Analysis; Humans; Models, Biological;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.959319
Filename
959319
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