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Conventional EEG systems are extremely power hungry due to a reliance on high resolution analog-to-digital converters (ADCs) to cover their required dynamic range. This paper presents a novel architecture for acquiring multi-channel high-resolution EEG using low power techniques. Instead of digitizing the output of each analog front-end (AFE) amplifier with an individual ADC, a voltage-controlled...
This paper introduces two novel beamforming algorithms, namely the Region Constrained and Multiple Correlated Source Model beamformers, designed to localize and to reconstruct highly correlated brain sources from noisy EEG data. Multiple correlated source simulations have been performed to evaluate the performance of the proposed algorithms, using a realistic 176 × 240 × 256 finite difference head...
In this paper, the finite element method (FEM) and the finite difference method (FDM) were compared for the resolution of the 3D isotropic EEG forward problem, from the point of view of computational complexity and accuracy. The effects of dipole eccentricity and grid model size on solution accuracy and efficiency are addressed in the simulations. The present simulation study indicates that the numerical...
The purpose of the present study is to examine the effects of the White Matter (WM) anisotropy on the scalp electroencephalogram (EEG). The finite difference method (FDM) was used to model the head volume conductor with three kinds of inhomogeneous and anisotropic WM conductivities estimated by the volume constraint method. A current dipole was used to simulate the brain electrical activity with varying...
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