The evaluation of EEG response to photic stimulation in normal and diseased subjects

  • Authors:
  • Engin Tekin;Mehmet Engin;Tayfun Dalbastı;Erkan Zeki Engin

  • Affiliations:
  • Faculty of Engineering, Electrical & Electronics Engineering Department, Ege University, Turkey;Faculty of Engineering, Electrical & Electronics Engineering Department, Ege University, Turkey;Medical Faculty, Department of Neurosurgery, Ege University, Turkey;Faculty of Engineering, Electrical & Electronics Engineering Department, Ege University, Turkey

  • Venue:
  • Computers in Biology and Medicine
  • Year:
  • 2009

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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, 29Hz stimulation frequency was determined as the most representative frequency for normal subjects, whereas 8Hz stimulation frequency was determined as the most representative frequency for diseased subjects.