Detection of brain activity with an automated system hardware for accurate diagnostic of mental disorders

In this paper, a prototype of an automated system is proposed which provides the status of the brain by considering the rhythmic oscillations in the brain by analyzing the readings obtained. This readings help in forecasting the status of the brain Activity. It is studied that oscillations in the brain activity have been known since long time, but many fundamental aspects of such brain frequencies, particularly their functional importance were unclear. Detecting the alpha, beta, gamma, delta, theta patterns in brain activity that are related to person's intention to initiate control can be so for known as Electroencephalography. Basing on this phenomenon, the work is carried out to detect the brain wave as delta representing deeply sleep and not dreaming, theta representing drowsy and drifting down into sleep and dreams, alpha represents very relaxed and deepening into meditation, beta waves represents attention and gamma represents hyper brain activity or concentration. To implement this system brain sensor (TGAM EEG sensor), Arduino Uno board, Arduino Sketch IDE, processing IDE software is used to produce the Alpha, Beta Delta, Theta, Gamma waves of brain graphically. This work can be initiative step for applications for the cognitive impaired people, especially in the cases of Alzheimer's disease (AD), schizophrenia, and bipolar disorder (BD).