EEG 신호의 개인적 특성에 대한 분석

Abstract

In this study, we presented the results from the analysis of the EEG signals obtained while the tasks assigned to individuals. To begin with, we observed the change of brain wave activity when subjects were solving mathematical tasks. At this time, the subjects were listening to music presented by auditory stimuli. For this purpose, the EEG signals were measured by selecting music according to the subject's preference. And the relative power spectrum values were compared by dividing the EEG signals into theta waves, SMR waves, and mid-beta waves. These are the brain wave components related to concentration. Nextly, we carried out the experiment to check the frequency band of the EEG signals that can be used for personal authentication. Therefore, the EEG signals were measured by dividing into the open-eye state and the closed-eye state depending on the presence or absence of an optical task. These data were divided into the 7 parts frequency bands : delta waves, theta waves, alpha waves, SMR waves, mid-beta waves, beta waves, and gamma waves. At the same time, the power variability of each frequency band over time was observed. In the above two experiments, we presented the quantitative experimental results according to the statistical tests.