Effect of energy drink on EEG in performing reasoning tests

Abstract

Energy drink is one of the most common drinks for human to stay alert during work when they feel tired. Students especially university students usually drink energy drinks when deadlines of assignment or examinations approach. This project focuses on the effect of energy drink (RedBull Energy Drink) on Single-Channel EEG of the fontal area (Fp1) when people are taking different reasoning tests. The raw data of the frontal EEG is extracted from the MindWave Headset manufactured by NeuroSky. The signal was performed the band pass filter and the removal of artifacts before performing the analysis. The band powers of EEG is used as the features of the study, using statistical significant tests and machine learning methods such as k-nearest neighbors, support vector machine, sign test etc. The result show that people with the intake of energy drink containing caffeine, Taurine and high amount of sugar (sucrose and glucose) have a significant difference to people without the intake of the energy drink within 24 hours and can be classified by different machine learning classifiers.