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 (RIP). 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 freuency for diseased subjects. (c) 2008 Elsevier Ltd. All rights reserved.