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

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dc.contributor.author Tlotleng, Kaloso M.
dc.contributor.author Jamisola, Rodrigo S.Jr.
dc.contributor.author Abibullaev, Berdakh
dc.date.accessioned 2024-08-22T07:10:40Z
dc.date.available 2024-08-22T07:10:40Z
dc.date.issued 2023-09-18
dc.identifier.citation Tlotleng, K.M., Jamisola, R. S.Jr. and Abibullaev, B. (2023) An interpretation of the transitions in EEG signals based on the five frequency bands with increasing alcohol content in the human body. In Jamisola, Rodrigo S. Jr (ed.) Proceedings of BIUST Teaching, Research, and Innovation Symposium (TRDAIS),18-19 September 2023, Palapye, Botswana International University of Science and Technology, 74-80. en_US
dc.identifier.issn 2521-2293
dc.identifier.uri https://repository.biust.ac.bw/handle/123456789/600
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Botswana International University of Science and Technology
dc.subject Electroencephalogram (EEG) signals en_US
dc.subject Alcohol consumption en_US
dc.subject 32-channel headset en_US
dc.subject Frequency bands en_US
dc.subject Epochs en_US
dc.title An interpretation of the transitions in EEG signals based on the five frequency bands with increasing alcohol content in the human body en_US
dc.description.level phd en_US
dc.description.accessibility unrestricted en_US
dc.description.department mie en_US


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