1 December 2010 ee-dimensional neuronal brain activity estimation using shrinking smooth weighted-minimum-norm focal underdetermined-system solver methods
Author Affiliations +
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.
© (2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Wassim Zouch, Wassim Zouch, Mohamed Ben Slima, Mohamed Ben Slima, } "ee-dimensional neuronal brain activity estimation using shrinking smooth weighted-minimum-norm focal underdetermined-system solver methods," Optical Engineering 49(12), 123201 (1 December 2010). https://doi.org/10.1117/1.3505847 . Submission:
JOURNAL ARTICLE
9 PAGES


SHARE
Back to Top