Abstract
Differences between the multichannel EEG signals of artists and nonartists were investigated using wavelet coefficients during visual perception and mental imagery tasks and at rest. The wavelet coefficients were calculated using wavelet functions such as Daubechies (order 1–10), Coiflets (order 1–5), and biorthogonal (order 2.4). Each of the calculated approximation and detail coefficients and their averages, standard deviations, and their energies were separately used for discriminating the two groups. The Davies-Bouldin Index was used for evaluation of the feature space quality. We found that the two groups are discriminable using the wavelet coefficients calculated by all of the studied wavelet functions. It was also observed that level of decomposition does not contribute significantly to discriminability. In addition, we observed no considerable difference between approximation and detail coefficients for discriminating the two groups. It was also found that a distinguishing coefficient may exist am...
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