Figures

Figure 1: Results of program FCE for a time series of atrial fibrillation (type I) recorded from a patient. Forecasting error $E_d(k)$ is shown as a function of the number of nearest neighbours $k$. Parameters: $\tau $ = 48 ms, Theiler correction = $\tau $, test set = 150, fit set = 3000, forecasting time T = 75 ms, embedding dimension $d$ = 2 ...10 (2) (square, circle, triangle, plus, cross).
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Figure 2: Results of program IFM for the y-component of the Lorenz system. Top to bottom: ILD/$\tau $, FF, MI, ILD. Parameters: $\tau = 1 \ldots 49 (2)$, Theiler correction = 1, evolution time = 1, Q = 4, nr. ref. points = 196, neighbourhood radius fixed to 0.125, embedding dimension = 2 ...5 (square, circle, triangle, plus).
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Figure 3: Correlation integrals $C(r)$ vs. $r$ (lower panel) and their derivatives (upper panel) for a recording of atrial fibrillation. The values for the embedding dimension are 1 (top curve), 2, $\ldots$, 20. The vertical lines are the boundaries of the scaling regions.
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Figure 4: Estimated correlation dimensions (lower panel) and entropies (upper panel) with 95% confidence intervals.
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\epsfig{file=mldk2b.ps,width=13.0cm,clip=,bbllx=35,bblly=30,bburx=515,bbury=625}\end{figure}



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