This paper presents a new method for the reconstruction of current sources for the electroencephalography (EEG) inverse problem, which produces reconstructed sources, which are confined to a few anatomical regions. The method is based on a partition of the gray matter into a set of regions, and in the construction of a simple linear model for the potential produced by feasible source configurations inside each one of these regions. The proposed method computes the solution in two stages: in the first one, a subset of active regions is found so that the combined potentials produced by sources inside them approximate the measured potential data. In the second stage, a detailed reconstruction of the current sources inside each active region is performed. Experimental results with synthetic data are presented, which show that the proposed scheme is fast, computationally efficient and robust to noise, producing results that are competitive with other published methods, especially when the current sources are effectively distributed in few anatomical regions. The proposed method is also validated with real data from an experiment with visual evoked potentials.
We present RHESSI and TRACE observations of multiple flare activity that
Occurred in the active region NOAA 10656 over the period of two hours on 2004
August 18. Out of four successive flares, there were three events of class C
While the final event was a major X1.8 solar eruptive flare. The events...
We present a method, based on Bayesian statistics, to fit the dust emission
Parameters in the far-infrared and submillimeter wavelengths. The method
Estimates the dust temperature and spectral emissivity index, plus their
Relationship, taking into account properly the statistical and systematic
We present a novel segmentation algorithm based on a hierarchical
Representation of images. The main contribution of this work is to explore the
Capabilities of the A Contrario reasoning when applied to the segmentation
Problem, and to overcome the limitations of current algorithms within that
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