EEG spectral patterns

EEG signals encompass (1) characteristic "sounds" made up of a limited number of "partial tones" whose vibration rates are integer multiples of a fundamental "tone", and (2) characteristic "noise" made up of a large number of "partial tones" whose vibration rates cover the whole frequency range. The amplitudes of EEG partial tones are not constant but, rather, fluctuate around average values. The same is true, though less pronounced, of frequency. Here we find subtle shifts of partial tones towards lower and higher pitch, analogously to intonation patterns in human speech production which exhibits variations around a mean vocal pitch.

The fluctuations of EEG partial tones display marked between-subject differences together with a high within-subject stability over time. To quantify these characteristic fluctuations we have developed the concept of "spectral patterns" which generalizes the notion "spectrum" in such a way that spectral intensities are regarded as fluctuating rather than being fixed-valued, thus incorporating the non-stationary nature of EEG time series into our model.



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