The 6th Mediterranean International Conference of Pure & Applied Mathematics and Related Areas (MICOPAM 2023), Paris, Fransa, 23 - 27 Ağustos 2023, ss.87-91
In this paper, commonly used frequency domain normalizations and their
effects on electroencephalography (EEG) signal are examined. Additionally, a
novel normalization method is introduced to decrease between subject variability
in frequency domain. This method basically uses the affine transformation to
warp the frequency domain. Alpha band peak frequency and it’s near-harmonics
are prominently active during eyes closed EEG recordings. However, these peak
values can vary from person to person. Normalizing the frequency plane by
mapping these peaks to fixed frequency positions on the frequency axis can
reduce the variation caused by these oscillations. Thus, group analyzes can be
evaluated in standardized time-frequency spectra.