Differentiation of linearly correlated noise from chaos in a biologic system using surrogate data

Steven Schiff, Taeun Chang

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Experimental time-series of human H-reflexes were analyzed for the presence of fractal structure or deterministic chaos. Surrogate data sets consisting of stochastic time-series with preservation of selected properties of the experimental time-series were used as mathematical controls. Artifacts generated during the analysis of the experimental data are identified, and shown to be due to linear correlation in the original time-series. The method is simple and generally applicable to the non-linear analysis of time-series from any experimental system.

Original languageEnglish (US)
Pages (from-to)387-393
Number of pages7
JournalBiological Cybernetics
Volume67
Issue number5
DOIs
StatePublished - Sep 1 1992

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science(all)

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