An interpretation of the transitions in EEG signals based on the five frequency bands with increasing alcohol content in the human body

Abstract

We present an interpretation of the transitions of the brain signals harnessed from an electroencephalogram (EEG) headset attached to the user while increasing alcohol intake by drinking alcoholic beverages. These transitions can be traced to an individual’s cognitive and behavioral changes under the influence of alcohol that may affect the individual’s decisions and motor control. The EEG headset is a wireless 32-channel Emotiv Epoc Flex brain wear. The data were recorded during experiments where an individual was given alcoholic beverages to consume within two hours. The individual was given a six-pack of beer with an alcohol content of 6%. We establish the variations of epoched data within a specific timeframe, starting from the first bottle of alcohol intake until the last bottle is finished. We use five frequency bands namely, delta, theta, alpha, beta, and gamma to observe and create visualizations based on the power spectrum of the EEG signals. The data is segmented into time-locked segments called epochs that represent the process of alcohol intake. These results can lead to a better understanding of transitions that occur in brain activity as the amount of alcohol consumption increases within a fixed timeframe.