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We suggest to present a discrete sequence of cardiointervals in the form of a smooth time dependence and for the given time series compute the largest Lyapunov exponent. Processing the database with RR-intervals of patients suffering from coronary artery disease (CAD) has shown that the largest Lyapunov exponent can be a diagnostic criteria allowing one to distinguish between different groups of patients with more confidence than the standard methods for time series processing accepted in cardiology.
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Pavlov AN, Janson NB, Anishchenko VS, Gridnev VI, Dovgalevsky PYa. Diagnostic of cardio-vascular disease with help of largest Lyapunov exponent of RR-sequences. Chaos, Solitons and Fractals 2000; 11: 807-814.
DOI:
10.1016/S0960-0779(98)00212-4
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