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

✍ Scribed by Steven J. Schiff; Taeun Chang

• Book ID: 104660858
• Publisher: Springer-Verlag
• Year: 1992
• Tongue: English
• Weight: 638 KB
• Volume: 67
• Category: Article
• ISSN: 0340-1200
• DOI: 10.1007/bf00200982

✦ Synopsis

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.