Analysis and Extraction of Electroencephalogram (EEG) wave for Brain-Computer Interfacing

The present work demonstrates the mining of brain data using non-invasive methods by simply interfacing the brain and computing devices. This work attempts to analyze and collect the Electroencephalogram (EEG) signal by two different sensors for Brain-Computer-Interfacing (BCI) system. A detailed performance analysis is carried out between these two sensors. Then various signal processing techniques and algorithms are used to extract two useful features of the brain, attention and meditation. Finally, for the later portion of the paper, Brain’s attention (EEG Beta wave) and meditation (EEG Theta wave) values are conditioned successfully to make them available for a practical application.