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Optical Engineering

ee-dimensional neuronal brain activity estimation using shrinking smooth weighted-minimum-norm focal underdetermined-system solver methods
Author(s): Wassim Zouch; Mohamed Ben Slima
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Paper Abstract

A new nonparametric method, based on the smooth weighted-minimum-norm (WMN) focal underdetermined-system solver (FOCUSS), for electrical cerebral activity localization using electroencephalography measurements is proposed. This method iteratively adjusts the spatial sources by reducing the size of the lead-field and the weighting matrix. Thus, an enhancement of source localization is obtained, as well as a reduction of the computational complexity. The performance of the proposed method, in terms of localization errors, robustness, and computation time, is compared with the WMN-FOCUSS and nonshrinking smooth WMN-FOCUSS methods as well as with standard generalized inverse methods (unweighted minimum norm, WMN, and FOCUSS). Simulation results for single-source localization confirm the effectiveness and robustness of the proposed method with respect to the reconstruction accuracy of a simulated single dipole.

Paper Details

Date Published: 1 December 2010
PDF: 9 pages
Opt. Eng. 49(12) 123201 doi: 10.1117/1.3505847
Published in: Optical Engineering Volume 49, Issue 12
Show Author Affiliations
Wassim Zouch, Univ. de Valenciennes et du Hainaut-Cambrésis (France)
Mohamed Ben Slima, Univ. de Sfax (Tunisia)


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