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

Pantha Protim Sarker

Abstract: 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.

Keywords: Brain-Computer-Interfacing BCI, Electroencephalogram EEG, Non-invasive Signal Extraction, Attention, Meditation

How to Cite?: Pantha Protim Sarker, "Analysis and Extraction of Electroencephalogram (EEG) wave for Brain-Computer Interfacing", Volume 9 Issue 12, December 2020, International Journal of Science and Research (IJSR), Pages: 790-796, https://www.ijsr.net/getabstract.php?paperid=SR201204170853, DOI: https://dx.doi.org/10.21275/SR201204170853