Flicker-Noise Spectroscopy (FNS), a general approach to the extraction and parameterization of resonant and stochastic components contained in medical time series, is presented. The basic idea of FNS is to treat as main information carriers the correlation links present in sequences of different irregularities, such as spikes, “jumps”, and discontinuities in derivatives of different orders, on all levels of the spatiotemporal hierarchy of the system under study. The tools for extracting and analyzing the information are power spectra and difference moments (structural functions), which complement each other’s information. The stochastic component derived from the structural function is formed exclusively by “jumps” of the dynamic variable while the stochastic component derived from the power spectrum is formed by both spikes and “jumps” on every level of the hierarchy. An application of this approach to the analysis of electroencephalogram signals is discussed.
|Original language||English (US)|
|Title of host publication||Simultaneity|
|Subtitle of host publication||Temporal Structures and Observer Perspectives|
|Publisher||World Scientific Publishing Co.|
|Number of pages||16|
|State||Published - Jan 1 2008|
All Science Journal Classification (ASJC) codes