DocumentCode :
1252191
Title :
On modeling the Wilson terminal in the boundary and finite element method
Author :
Fischer, Gerald ; Tilg, Bernhard ; Modre, Robert ; Hanser, Friedrich ; Messnarz, Bernd ; Wach, Paul
Author_Institution :
Univ. for Health Informatics & Technol. Tyrol, Innsbruck, Austria
Volume :
49
Issue :
3
fYear :
2002
fDate :
3/1/2002 12:00:00 AM
Firstpage :
217
Lastpage :
224
Abstract :
In clinical electrocardiography, the zero-potential is commonly defined by the Wilson central terminal. In the electrocardiographic forward and inverse problem, the zero-potential is often defined in a different way, e.g., by the sum of all node potentials yielding zero. This study presents relatively simple to implement techniques, which enable the incorporation of the Wilson Terminal in the boundary element method (BEM) and finite element method (FEM). For the BEM, good results are obtained when properly adopting matrix deflation for modeling the Wilson terminal. Applying other zero-potential-definitions, the obtained solutions contained a remarkable offset with respect to the reference defined by the Wilson terminal. In the inverse problem (nonlinear dipole fit), errors introduced by an erroneous zero-potential-definition can lead to displacements of more than 5 mm in the computed dipole location. For the FEM, a method similar to matrix deflation is proposed in order to properly consider the Wilson central terminal. The matrix obtained from this manipulation is symmetric, sparse and positive definite enabling the application of standard FEM-solvers.
Keywords :
boundary-elements methods; electrocardiography; finite element analysis; inverse problems; physiological models; ECG; Wilson terminal modeling; electrocardiographic forward problem; electrocardiographic inverse problem; electrodiagnostics; matrix deflation; nonlinear dipole fit; source localization; zero-potential-definitions; Bioelectric phenomena; Biomedical informatics; Boundary element methods; Electric potential; Electrocardiography; Finite element methods; Inverse problems; Poisson equations; Sparse matrices; Symmetric matrices; Electrocardiography; Finite Element Analysis; Humans; Models, Statistical;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.983455
Filename :
983455
Link To Document :
بازگشت