EEG sensor prototype for recording the attention under ANT method

Attention is a construct treated by different models, which have emphasized in identification of its characteristics and activation mechanism, a special method for recording the attention is “attentional network test”. This paper presents the development process of an EEG sensor prototype, in which processing of the waves, four standard waves known as Beta, Alpha, Theta and Delta were exalted. These working at their own frequencies and allowing the analysis of the pulses generated from various stimuli. For the project worked a system was proposed, that presents variations in position and frequency to stimulate the pulses generated by the nervous system. With the processing and storage of the data recorded during the visual stimulation tests, an optimal wave analysis system was obtained, with the ability to closely record complex systems with an average difference of 0.14469253 in amplitude for standardized signals, showing a very acceptable behavior for a low-cost capture system and easy acquisition.