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The P300 is an endogenous event-related potential (ERP) that is naturally elicited by rare and significant stimuli, located in the parietal lobe of the brain. P300s are increasingly used in brain-computer interfaces (BCI) because the users of ERP-based BCIs need no special training. In order to detect P300s, most studies in the field have been focused on a supervised approach, dealing with over-fitting...
A MRI brain image segmentation method using a hidden Markov random fields with heavy-tailed alpha-stable distributions is presented. Each brain tissue is modelled using an alpha-stable distribution. Then, a HMRF is used to include spatial information in the classification model. The Gaussian distribution has been widely used for the modelization of the cerebrospinal fluid, white matter and gray matter...
This paper marks the beginning of a new way of analyzing fMRI images. The idea is to model these images with a mixture of Gaussians, that allows to carry out some complex tasks more easily. One application of this approach is the artifacts subtraction. It consists of removing certain high-intensity voxels that are not relevant to the analysis of the images. On the other hand, this approach provides...
A Sigma-Delta (SigmaDelta) modulator with 10 bits of resolution and only 55 nW power consumption for electroencephalogram (EEG) applications is presented. The overall modulator operates from 1.2 V using Quasi-Floating-Gates (QFG) based circuits. The system has been implemented in a standard 0.5-mum CMOS process. Post-layout simulations have been performed showing 70 dB of SNR with an oversampling...
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