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

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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.

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Authors and Affiliations

  1. Department of Neurosurgery, Children's National Medical Center, 111 Michigan Ave, 20010, Washington, DC, N.W., USA

    Steven J. Schiff & Taeun Chang

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  1. Steven J. Schiff
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  2. Taeun Chang
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Schiff, S.J., Chang, T. Differentiation of linearly correlated noise from chaos in a biologic system using surrogate data. Biol. Cybern. 67, 387–393 (1992). https://doi.org/10.1007/BF00200982

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  • DOI: https://doi.org/10.1007/BF00200982

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