The present work is oriented to offer a communication via to the many people who undergo of a severe loss of function motorboat as a result of different accidents and/or diseases, so that they can control and interact better with his environment, for which an brain-computer interface has been implemented through the acquisition of EEG signals by electrodes, implementation of algorithms to extract characteristics and to execute a method of classification of such way to interpret these signals and to execute corresponding actions. The first objective to design and to construct to a System of Communication and Control Based on the Thought able to catch and to measures EEG signals. The second objective is to implement the system of data acquisition including a digital filter in real time that allows us to eliminate the noise. The third objective is to analyze the variation of the EEG signals...