Classification of Local Maxima Dynamics in Wavelet Spectrum of Electroencephalograms
The paper presents the descriptiveness of frequency local maxima chains obtained from the analysis of the matrix of the continuous wavelet transformation signals of electroencephalogram to identify the active areas of the brain. In the experiments on healthy volunteers, the possibility of using the number of chains of local maxima to assess individual and typological features of electroencephalogram is shown.