Şeker, MustafaTokmakçi, MahmutAsyali, Musa HakanSe?men, Hatice2024-10-262024-10-262010978-142446382-4https://doi.org/10.1109/BIYOMUT.2010.5479820https://hdl.handle.net/20.500.12418/260022010 15th National Biomedical Engineering Meeting, BIYOMUT2010 -- 21 April 2010 through 24 April 2010 -- Antalya -- 80917EEG tools are used for diagnosing and interpreting brain diseases at neurology clinics. In this study, EEG data collected from healthy, migraine, and pregnant women were analyzed using Modified Covariance (a parametric spectral analysis method) and Welch (a non-parametric method) methods, in an attempt to re-evaluate the value EEG in migraine diagnosis. We have also compared the performance of different spectral analysis methods in distinguishing different conditions. Further, we have examined changes in the EEG spectral characteristics that occur due to migraine in the pregnancy term. ©2010 IEEE.tr10.1109/BIYOMUT.2010.5479820info:eu-repo/semantics/closedAccessAR; EEG; Modified covariance; WelchConference Object2-s2.0-77954452084