Information evaluation and classification of scaling exponents of EEG signals corresponding to visual perception, mental imagery & mental rest for artists and non-artists

• Main Authors: Shourie, N., Firoozabadi, S. M. P., Badie, K.
• Format: Conference Proceeding
• Language: English
• Subjects: Accuracy; Biomedical engineering; Electroencephalography; Feature extraction; Indexes; Neurons; Visual perception
• DOI: 10.1109/ICBME.2011.6168545

In this paper, we extracted scaling exponents of multichannel EEG signals recorded from two groups of artists and non-artists. We compared them to investigate the difference between artists and non-artists. The EEG signals were recorded while the subjects performed four tasks of visual perception, four tasks of mental imagery and at resting condition. We used Davies-Bouldin's index for evaluation of the feature space quality and the discrimination between the two groups. We observed a noticeable similarity in scaling exponents between visual perception and mental imagery. A considerable discrimination in scaling exponents was observed between the two groups at resting condition. However, the differentiation in scaling exponents between visual perceptions of the two groups was low. This result was observed in scaling exponents between the two groups' mental imageries, too. Thereby, the discrimination in scaling exponents between the two groups decreased with performing a same cognitive task. Additionally, we classified the scaling exponents which were related to the resting conditions and the visual perceptions of the two groups by the Neural Gas classifier. The average accuracies were 87.5% and 46.87%, respectively. These results confirmed the discrimination and the similarity in scaling exponents between resting conditions and visual perceptions of the two groups, respectively.