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Estimation of Lyapunov exponents of ECG time series—The influence of parameters

✍ Scribed by Aldo Casaleggio; Stefano Braiotta

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
656 KB
Volume
8
Category
Article
ISSN
0960-0779

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✦ Synopsis

The influence of working parameters on the estimation of Lyapunov spectra from limited data sets is investigated, using Lorenz, Rossler and Henon attractors, and an empirical law is presented. Application to electrocardiograms from the MIT-BIH Arrhythmias Database shows a smaller divergence rate (A,) and convergence rate (IA31 or lh4/) in pathological than normal data.

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