Phenomenological analysis of medical time series with regular and stochastic components

Serge F. Timashev, Yuriy S. Polyakov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 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 as main information carriers. The tools to extract and analyze the information are power spectra and difference moments (structural functions), which complement the information of each other. The structural function stochastic component is formed exclusively by "jumps" of the dynamic variable while the power spectrum stochastic component is formed by both spikes and "jumps" on every level of the hierarchy. The information "passport" characteristics that are determined by fitting the derived expressions to the experimental variations for the stochastic components of power spectra and structural functions are interpreted as the correlation times and parameters that describe the rate of "memory loss" on these correlation time intervals for different irregularities. The number of the extracted parameters is determined by the requirements of the problem under study. Application of this approach to the analysis of tremor velocity signals for a Parkinsonian patient is discussed.

Original languageEnglish (US)
Title of host publicationNoise and Fluctuations in Biological, Biophysical, and Biomedical Systems
DOIs
StatePublished - Nov 26 2007
Externally publishedYes
EventNoise and Fluctuations in Biological, Biophysical, and Biomedical Systems - Florence, Italy
Duration: May 21 2007May 23 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6602
ISSN (Print)0277-786X

Other

OtherNoise and Fluctuations in Biological, Biophysical, and Biomedical Systems
CountryItaly
CityFlorence
Period5/21/075/23/07

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Flicker-noise spectroscopy
  • Medical time series
  • Phenomenological analysis
  • Power spectrum
  • Structural function

Fingerprint Dive into the research topics of 'Phenomenological analysis of medical time series with regular and stochastic components'. Together they form a unique fingerprint.

Cite this