EEG-based analysis of auditory stimulus in a brain-computer interface

This research is related to Neuroscience research fields that study sounds which affect the state of mind of a person. The main focus of this research is to create a system that observes the effects of the auditory stimulus including binaural beats and relaxing music by analyzing the Electroencephalogram (EEG) readings of the participants. EEG is mostly used for recording electrical brain wave signal readings. In addition, the Brain-Computer Interface (BCI) is used to decipher the EEG brain spectrum readings and distinguish between the different EEG bands including Delta, Theta, Alpha, Beta and Gamma. There are 40 participants (20 males, 20 females) around the age group 31 - 70 yrs. in this research. The EEG recorded from the participants using the Brain-Computer Interface (BCI) is analyzed using a statistic-based Paired T-test to find the significant difference of each stimulus with each group that separate by age of participants.