ANIMA has as a primary objective to compare three non conventional human computer interfaces that comply with the industrial robot ST Robotics R-17 instructions. This module, Alpha Waves Related Potentials -ARPexplains how brain waves are obtained, processed, analyzed and identified depending on their frequency. This module makes use of the Open EEG Project’s open hardware monitor for brain wav...

PURPOSE To demonstrate the significance of simultaneous electroencephalography (EEG) recording during 2-deoxy-2-[(18)F] fluoro-D-glucose (FDG)-positron emission tomography (PET) in childhood partial epilepsy. MATERIALS AND METHODS We included 46 children with partial epilepsy who underwent simultaneous EEG during PET. We compared the epileptogenic area of several EEG features including epilep...

OBJECTIVE We propose a theoretical framework for EEG and evoked potential studies based on the single postulate that these data are composed of a combination of waves (as this term is used in the physical sciences) and thalamocortical network activity. METHODS Using known properties of traveling and standing waves, independent of any neocortical dynamic theory, our simple postulate leads to e...

Introduction: Lead intoxication in children has been associated with neurodevelopment disabilities that may result in motor and cognitive impairment. The aim of the present study is to evaluate in long term effects of prenatal exposure to low-level Pb2+ on learning, memory and EEG. Materials & Methods: Rat pregnant were exposed to distilled water or 0.05, 0.1, 0.2 % of Pb-acetate in the dr...

This paper presents a novel adaptive filtering approach for the classification and tracking of the electroencephalogram (EEG) waves. In this approach, an adaptive recursive bandpass filter is employed for estimating and tracking the center frequency associated with each EEG wave. The main advantage inherent in the approach is that the employed adaptive filter only requires one coefficient to be...

This paper presents a novel adaptive filtering approach for the classification and tracking of the electroencephalogram (EEG) waves. In this approach, an adaptive recursive bandpass filter is employed for estimating and tracking the center frequency associated with each EEG wave. The main advantage inherent in the approach is that the employed adaptive filter only requires one coefficient to be...

Seizure activity takes place due to an irregular excessive electrical action in the human brain. The electrical activity in the form of brain waves (signals) can measured by using the device called Electroencephalogram (EEG). In this paper, we have reviewed our work so far made regarding EEG signals. Comparative between Artificial Neural Network (ANN) and Support Vector Machine (SVM) this revie...

To extract important information from the environment on a useful timescale, the visual system must be able to adapt rapidly to constantly changing scenes. This requires dynamic control of visual resolution, possibly at the level of the responses of single neurons. Individual cells in the visual cortex respond to light stimuli on particular locations (receptive ®elds) on the retina, and the str...