In this paper, we presented an EEG-ERSP(Event-Related Spectral Perturbation)patterns in order to investigate the EEG changes in odorant stimuli. We used Citralva as the pleasant stimulus and 2-mercaptomethanol as the unpleasant stimulus. We shows the analysis results of the EEG changes. The frequency power in the pleasant odor stimulus is relatively higher than the unpleasant odor stimulus. Especially the analysis result shows that the frequency power values of the Beta and Gamma bands are higher than other bands on the right temporal lobe(T4).
Research Interests
Digital Phenotyping; Data Mining & Machine Learning for Text & Multimedia; Brain-Sense-ICTConvergence Computing; Computational Olfaction Measurement; Simulation&Modeling