DocumentCode :
336327
Title :
Computing the forward EEG solution of the multishell spherical head model for localizing electrical activity in the brain
Author :
Sun, Mingui
Author_Institution :
Dept. of Neurosurg., Pittsburgh Univ., PA, USA
Volume :
3
fYear :
1997
fDate :
30 Oct-2 Nov 1997
Firstpage :
1172
Abstract :
Localization of electrical activity in the brain based on multichannel EEG measurement has been a problem of major interest in computational neuroscience. To compute the current dipole source within the brain a head volume conductor model is required which relates the EEG potentials to the underlying source. The most commonly used head model is a multishell conducting sphere whose forward solution requires a costly evaluation of an infinite sum of the Legendre polynomials. This paper presents a new algorithm which is a closed-form approximation to the exact solution. The resulting computation is accelerated by as much as sixteen times, and the approximation error is very small. A complete C-source code is provided to facilitate the application of this algorithm
Keywords :
Legendre polynomials; electroencephalography; inverse problems; medical diagnostic computing; physiological models; polynomial approximation; EEG potentials; Legendre polynomials; brain; closed-form approximation; complete C-source code; computational neuroscience; current dipole source; exact solution; fast algorithm; forward EEG solution; head volume conductor model; inverse problem; localizing electrical activity; multichannel EEG; multishell spherical head model; small approximation error; underlying source; Brain modeling; Conductivity; Conductors; Electroencephalography; Geometry; Head; Polynomials; Scalp; Solid modeling; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-4262-3
Type :
conf
DOI :
10.1109/IEMBS.1997.756568
Filename :
756568
Link To Document :
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