Brain signals acquired using a modular encephalograph for digital processing and BCI application

Abstract

The instruments BCI (brain-computer interface), are currently breaking into the vast horizon of bioengineering, favoring people with brain deficiencies, which sometimes is the only way to communicate. The main objective is to acquire brain signals to achieve an interface capable of receiving a response from the computer; and control a robotic arm. This paper provides a description of brain signals: beta, alpha, theta and delta, also implementing a modular electroencephalograph: analog and digital. With the actual construction of the electrodes correctly capturing EEG signals (electroencephalograph), with amplification between 1V-3V. Signals are sent to the computer for processing, and perform a storage system, identifying standards (using Matlab), if we receive alpha signal, with this program the signal is identified, procesed and compared, if it reaches more than 50% similarity dispatched response. This is where autoregressive parameters for best signal processing is used.