Multiscale analysis of rhythmic processes with time-varying characteristics

The problem of diagnostics of structural variations in nonstationary processes is considered in the case of a degree of nonstationarity that is dependent on the frequency range. Multiscale analysis of experimental data on rhythmic processes with time-varying characteristics is carried out by the example of sleep slow wave dynamics. Possibility of improving the quality of diagnostics by selecting proper wavelet basis set functions is discussed.