Examinando por Materia "INTERFAZ CEREBRO-COMPUTADOR ( ICC )"

Mostrando 1 - 3 de 3
  • Miniatura
    PublicaciónAcceso abierto
    Diseño y construcción de un prototipo de interfaz cerebro-computador para facilitar la comunicación de personas con discapacidad motora
    (2013-11-27) Arboleda-Clavijo, C. (Carolina); García-Cossio, E. (Eliana); Posada, A. (Alejandro); Torres-Villa, R. A. (Róbinson Alberto)
    A brain-computer interface (BCI) is a communication system that translates a brain signal (e.g. sensorimotor rhythms, evoked potentials) into a control signal and, therefore, constitutes an innovative communication alternative for people with severe motor disability (such as patients with amyotrophic lateral sclerosis). This project proposes the development of a BCI prototype based on the recording of P300 cognitive potentials using electroencephalography. The prototype uses a six-channel electroencephalograph to acquire the signals, and through a visual stimulation matrix containing the letters of the alphabet and icons associated to each one gives the user the possibility of writing words or elaborating messages with the icons. To process the signals (filtering and decimation, among other methods), the software BCI2000 and MATLAB 7.0 were used. The latter was used to program three different linear translation algorithms (linear discriminant analysis, least squares analysis and stepwise linear discriminant analysis), in order to translate the recorded evoked potentials into communication signals.
  • Miniatura
    PublicaciónAcceso abierto
    Evaluación experimental y estadística de un prototipo de interfaz cerebro-computador (ICC)
    (2014-04-24) Arcos-Argoty, J. (Julián); García-Cossio, E. (Eliana); Torres-Villa, R. A. (Róbinson Alberto)
    In this paper, we propose an experimental and statistical design to compare the BCI prototype with a comercial device (USBamp), studyng if they show significant differences or not.
  • Miniatura
    PublicaciónAcceso abierto
    Interfaz cerebro computadora (ICC) basada en el potencial relacionado con eventos P300: análisis del efecto de la dimensión de la matriz de estimulación sobre su desempeño
    (2014-04-23) García-Cossio, E. (Eliana); Gentiletti, G. G. (Gerardo Gabriel)
    A brain computer interface BCI is a device that helps people with severs motor disabilities. It allows an external communication through the electrical activity of the brain without the assistance of the peripheral nerves or muscle activity. This project used a BCI system, based on P300 paradigm which was developed at Universidad Nacional de Entre Ríos. The system includes an EEG signal acquisition system that use external electrodes, a Grass amplifier, the BCI2000 software, and the Marilou robotic simulation tool. Additionally, the system allows the evaluation of the BCI application to control the movement of an intelligent and self-propelled wheelchair. The presentation of icons, which codified the instructions to command the wheelchair movements, was developed, in order to generate the stimulus for P300 generation. Two matrix with different size and distribution (4x5 and 4x3, row x column) were tested. We analyzed the percentage of classification obtained after the application of the regression method SWLDA, and we found that the major classification percentage was achieved with the 4x3 matrix. This study reveals that this process could be faster and more confortable for the user. And finally the subject decisions will have more correlation between the results of the system and his real desire.