Graphical user interface for neuronal signal processing during arm movements

Desde la ingeniería electrónica se proponen distintas soluciones para dar una calidad de vida a quienes cuentan con discapacidad y disfunción física. La BCI resulta ser la opción para mover un dispositivo electromecánico a partir de la actividad cerebral. En el presente trabajo se quiere encontrar el desempeño de tres clasificadores matemáticos a partir de señales electroencefalográficas tomadas en el lóbulo parietal del cerebro, que responden a señales producidas por dos movimientos del brazo.Electronic engineering gives solutions for handicapped people for them to have a better life quality. BCI are brain computer interfaces that are a suitable solution for this people. It works using the brain electrical activity to control an electromechanical device. This dissertation aims to find the performance of three mathematical classifiers. Electroencephalographically signals are the inputs for the three classifiers. These signals were acquired over the parietal lobe since these signals were a result of two-arm movement execution