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“Surrogate data” is the basis for a technique for testing a time series for nonlinear dynamics and process nonstationarities. The theory behind surrogate data is briefly described, along with an algorithm for generating it. Examples are given of its use in detecting nonlinearity in heart rate signals, detecting non-stationarity, and estimating the sampling distribution of complicated statistics of heart rate variability.
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