Literature DB >> 9353994

Factors affecting the accuracy of the boundary element method in the forward problem--I: Calculating surface potentials.

A S Ferguson1, G Stroink.   

Abstract

A comprehensive review of factors affecting the accuracy of the boundary element method (BEM) for calculating surface potentials is presented. A relative-error statistic is developed which is only sensitive to calculation errors that could affect the inverse solution for source position, and insensitive to errors that only affect the solution for source strength. The factors considered in this paper are: numerical approximations intrinsic to the BEM, such as constant-potential versus linear-potential basis functions and sharp-edged versus smooth-surfaced volumes; aspects of the volume conductor including the volume shape, density of surface elements, and element shape; source position and orientation; and effects of "refinements" in the numerical methods. The effects of these factors are considered in both smooth-shaped (spheres and spheroids) and sharp-edged (cubes) volume conductors. This represents the first attempt to assess the effects of many of these factors pertaining to the numerical methods commonly used in fields such as electrocardiography (ECG) and electroencephalography (EEG). Strategies for obtaining the most accurate solutions are presented.

Mesh:

Year:  1997        PMID: 9353994     DOI: 10.1109/10.641342

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Accuracy of quadratic versus linear interpolation in noninvasive Electrocardiographic Imaging (ECGI).

Authors:  Subham Ghosh; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2005-09       Impact factor: 3.934

2.  Evaluating the spatial relationship of event-related potential and functional MRI sources in the primary visual cortex.

Authors:  Kevin Whittingstall; Gerhard Stroink; Matthias Schmidt
Journal:  Hum Brain Mapp       Date:  2007-02       Impact factor: 5.038

3.  Cardiac position sensitivity study in the electrocardiographic forward problem using stochastic collocation and boundary element methods.

Authors:  Darrell J Swenson; Sarah E Geneser; Jeroen G Stinstra; Robert M Kirby; Rob S MacLeod
Journal:  Ann Biomed Eng       Date:  2011-09-10       Impact factor: 3.934

4.  3D modeling of the total electric field induced by transcranial magnetic stimulation using the boundary element method.

Authors:  F S Salinas; J L Lancaster; P T Fox
Journal:  Phys Med Biol       Date:  2009-05-21       Impact factor: 3.609

5.  Comparison of spherical and realistically shaped boundary element head models for transcranial magnetic stimulation navigation.

Authors:  Aapo Nummenmaa; Matti Stenroos; Risto J Ilmoniemi; Yoshio C Okada; Matti S Hämäläinen; Tommi Raij
Journal:  Clin Neurophysiol       Date:  2013-07-25       Impact factor: 3.708

6.  Influence of the skeletal muscle activity on time and frequency domain properties of the body surface ECG during evolving ventricular fibrillation in the pig.

Authors:  Alexander G Shvedko; Mark D Warren; Shibaji Shome; Jeroen Stinstra; Alexey V Zaitsev
Journal:  Resuscitation       Date:  2008-05-27       Impact factor: 5.262

7.  Effects of dipole position, orientation and noise on the accuracy of EEG source localization.

Authors:  Kevin Whittingstall; Gerhard Stroink; Larry Gates; J F Connolly; Allen Finley
Journal:  Biomed Eng Online       Date:  2003-06-06       Impact factor: 2.819

  7 in total

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