An EEG (Bio) Technological System For Assisting The Disabled People

Abstract

One of the main goal of our research is the well, [3]. In this respect, it was argued that the poor implementation of a real time brain-computer interfacing system communication is generated by the lack of common terms and able to interpret the EEG signal and, accordingly, to command by the inexistence of a functional model in designing the BCI different external devices. Our team proposes a new design for systems, [3].this kind of bio-instrumental systems, based on the concept of For example, one of these systems -used by the Medical dynamic modularity of the entire system. The system is conceived

Optimisation of a BCI system using the GA tehnique

“…The tasks were as follows [2]: the baseline task (the subject relaxed as much as possible), the letter task (the subject mentally composed a letter to a friend), the counting task (the subject watched sequentially numbers written on an imaginary blackboard), the math task (the subject performed a nontrivial multiplication) and the rotation task (the subject studied for 30 seconds a 3D object and, with the object being removed, he was asked to imaginary rotate it around an axis). Moreover, the subjects performed two different trails for each task.…”

“…In order to obtain the formula for the auto-and cross-spectra function we first divided each of the two investigated time series into L overlapping windows of length T. The x(t) was replaced in our case by s 1 (t) -the first trial for each subject, each task and each EEG channel and respectively, by s 2 (t) -the second trial for the same subject, task and channel. To facilitate the consistence of the interpretation we calculated the pooled coherence estimate [2] based on a statistical test. The entirely methodology used to derive the a priori spontaneous cortical oscillations is presented in [2].…”

“…Up to now, in the previous researches [1], [2], we have used only the amplitude features as inputs for the ANN in order to obtain improved classification performances. Unlike these, the present study has two main objectives.…”

“…The results presented in this paper are part of a more complex project whose final goal is to design and implement an autonomic self-organizing robotic system, mentally commanded by an user that gives one of the following four associated commands: forth, back, left, right. As the system is intended to be an on-line one, in the research conducted and reported in this paper the optimization of a previous developed BCI system [1], [2] is taken into consideration. The BCI system presented in [1], [2] uses in the EEG processing stage a new method in order to extract the feature vectors; this approach was named Adaptive Nonlinear Amplitude and Phase Process (ANAPP) method.…”

“…As the system is intended to be an on-line one, in the research conducted and reported in this paper the optimization of a previous developed BCI system [1], [2] is taken into consideration. The BCI system presented in [1], [2] uses in the EEG processing stage a new method in order to extract the feature vectors; this approach was named Adaptive Nonlinear Amplitude and Phase Process (ANAPP) method.…”