The evaluation of EEG response to photic stimulation in normal and diseased subjects |
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Authors: | Engin Tekin [Author Vitae] [Author Vitae] Tayfun Dalbast? [Author Vitae] [Author Vitae] |
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Affiliation: | a Faculty of Engineering, Electrical & Electronics Engineering Department, Ege University, Turkey b Medical Faculty, Department of Neurosurgery, Ege University, Turkey |
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Abstract: | In this paper, our aim is to determine two photic stimulation frequencies, which would represent normal and diseased subjects, separately. Following features were extracted for this aim; linear prediction coefficients (LPC), subband wavelet entropy (SWE), subband wavelet variance (SWV), and relative power (RP). After extracting related features, analysis of variance (ANOVA) statistical test was used for the statistical evaluation of these features. According to the obtained results, wavelet transform-based entropy gave the best results to determine the representing stimulation frequencies. As a result, 29 Hz stimulation frequency was determined as the most representative frequency for normal subjects, whereas 8 Hz stimulation frequency was determined as the most representative frequency for diseased subjects. |
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Keywords: | EEG Photic stimulation Linear prediction Wavelet transform Relative power Statistical test |
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