A Comparative Investigation of Wavelet Families for Analysis of EEG Signals Related to Artists and Nonartists During Visual Perception, Mental Imagery, and Rest

Shourie, Nasrin; Firoozabadi, Seyed Mohammad; Badie, Kambiz

doi:10.1080/10874208.2013.847606

Cited by 12 publications

(8 citation statements)

References 28 publications

(41 reference statements)

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“…The obtained classification accuracies confirm this issue. This result is in accordance with the results reported by Shourie et al .,[ 13 14 ] which indicate that discriminabilities in scaling exponent and wavelet coefficients between the two groups are higher at rest as compared to the performance of similar cognitive tasks.…”

Section: Discussionmentioning

confidence: 99%

“…[ 1 ] Hence, EEG signals of professionals such as sportsmen and artists have been widely analyzed to date. [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ] For instance, it has been found that professional marksmen exhibit significantly more alpha wave activity in left temporal, parietal, and occipital regions as compared to novices. [ 2 3 ] Crews et al .…”

Section: Introductionmentioning

confidence: 99%

“…The average classification accuracies are 72.9%, 75%, and 100% for classification of the two groups during the visual perception, the mental imagery, and at the resting condition, respectively. [ 14 ] It has been observed that the alpha wave activity significantly decreases for artists as compared to nonartists during the two cognitive tasks. [ 15 ] A significant increased approximate entropy (ApEn) has been observed for artists as compared to nonartists during visual perception and mental imagery.…”

Section: Introductionmentioning

confidence: 99%

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Cepstral analysis of EEG during visual perception and mental imagery reveals the influence of artistic expertise

Shourie

2016

J Med Signals Sens

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In this article, multichannel electroencephalogram (EEG) signals of artists and nonartists were analyzed during the performances of visual perception and mental imagery of paintings using cepstrum coefficients. Each of the calculated cepstrum coefficients and their parameters such as energy, average, standard deviation and entropy were separately used for distinguishing the two groups. It was found that a distinguishing coefficient might exist among the cepstrum coefficients, which could separate the two groups despite electrode placement. It was also observed that the two groups were distinguishable during the three states using the cepstrum coefficient parameters. However, separating the two groups was dependent on channel selection in this regard. The cepstrum coefficient parameters were found significantly lower for artists as compared to nonartists during the visual perception and the mental imagery, indicating a decreased average energy of EEG for artists. In addition, a similar significant decreasing trend in the cepstrum coefficient parameters was observed from occipital to frontal brain regions during the performances of the two cognitive tasks for the two groups, suggesting that visual perception and its mental imagery overlap in neuronal resources. The two groups were also classified using a neural gas classifier and a support vector machine classifier. The obtained average classification accuracies during the visual perception, the mental imagery, and at rest in the case of using the best selected distinguishable cepstrum coefficients were 76.87%, 77.5%, and 97.5%, respectively; however, a decrease in average recognition accuracy was found for classifying the two groups using the cepstrum coefficient parameters.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cepstral analysis of EEG during visual perception and mental imagery reveals the influence of artistic expertise

Shourie

2016

J Med Signals Sens

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“…A significant decrease in alpha wave activity for artists as compared to nonartists during visual perception and mental imagery has also been observed [ 5 ]. In addition, it has been found that the two groups are distinguishable using wavelet coefficients [ 22 ]. Panga et al have reported that artistic expertise is related to decrease in ERP (event-related potential) responses to visual stimuli [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…We suggested investigating differences between multichannel EEG signals of artists and nonartists. The differences between the two groups were explored to date using some features such as scaling exponent, alpha power, and wavelet coefficients [ 5 , 19 – 22 ]. However, there was no broad research that investigated differences between the two groups in entropy based features such as ApEn.…”

Section: Introductionmentioning

confidence: 99%

Analysis of EEG Signals Related to Artists and Nonartists during Visual Perception, Mental Imagery, and Rest Using Approximate Entropy

Shourie

Firoozabadi

Badie³

2014

BioMed Research International

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In this paper, differences between multichannel EEG signals of artists and nonartists were analyzed during visual perception and mental imagery of some paintings and at resting condition using approximate entropy (ApEn). It was found that ApEn is significantly higher for artists during the visual perception and the mental imagery in the frontal lobe, suggesting that artists process more information during these conditions. It was also observed that ApEn decreases for the two groups during the visual perception due to increasing mental load; however, their variation patterns are different. This difference may be used for measuring progress in novice artists. In addition, it was found that ApEn is significantly lower during the visual perception than the mental imagery in some of the channels, suggesting that visual perception task requires more cerebral efforts.

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Neurofeedback training protocols based on spectral EEG feature subset and channel selection for performance enhancement of novice visual artists

Shourie

Firoozabadi

Badie³

2018

Biomedical Signal Processing and Control

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A Comparative Investigation of Wavelet Families for Analysis of EEG Signals Related to Artists and Nonartists During Visual Perception, Mental Imagery, and Rest

Cited by 12 publications

References 28 publications

Cepstral analysis of EEG during visual perception and mental imagery reveals the influence of artistic expertise

Cepstral analysis of EEG during visual perception and mental imagery reveals the influence of artistic expertise

Analysis of EEG Signals Related to Artists and Nonartists during Visual Perception, Mental Imagery, and Rest Using Approximate Entropy

Neurofeedback training protocols based on spectral EEG feature subset and channel selection for performance enhancement of novice visual artists

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