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

Steven Schiff, Taeun Chang

Research output: Contribution to journalArticle

31 Citations (Scopus)

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

Fingerprint

Chaos theory
Noise
Time series
H-Reflex
Fractals
Nonlinear analysis
Artifacts

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science(all)

Cite this

@article{b248ee90df3c4adeb8bdf30337d482be,
title = "Differentiation of linearly correlated noise from chaos in a biologic system using surrogate data",
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.",
author = "Steven Schiff and Taeun Chang",
year = "1992",
month = "9",
day = "1",
doi = "10.1007/BF00200982",
language = "English (US)",
volume = "67",
pages = "387--393",
journal = "Biological Cybernetics",
issn = "0340-1200",
publisher = "Springer Verlag",
number = "5",

}

Differentiation of linearly correlated noise from chaos in a biologic system using surrogate data. / Schiff, Steven; Chang, Taeun.

In: Biological Cybernetics, Vol. 67, No. 5, 01.09.1992, p. 387-393.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Differentiation of linearly correlated noise from chaos in a biologic system using surrogate data

AU - Schiff, Steven

AU - Chang, Taeun

PY - 1992/9/1

Y1 - 1992/9/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0026494182&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026494182&partnerID=8YFLogxK

U2 - 10.1007/BF00200982

DO - 10.1007/BF00200982

M3 - Article

C2 - 1391112

AN - SCOPUS:0026494182

VL - 67

SP - 387

EP - 393

JO - Biological Cybernetics

JF - Biological Cybernetics

SN - 0340-1200

IS - 5

ER -