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
Link To Document :
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