Memory beyond memory in heart beating: an efficient way to detect pathological conditions

Abstract

We study the long-range correlations of heartbeat fluctuations with the method of diffusion entropy. We show that this method of analysis yields a scaling parameter $\delta$ that apparently conflicts with the direct evaluation of the distribution of times of sojourn in states with a given heartbeat frequency. The strength of the memory responsible for this discrepancy is given by a parameter ${\epsilon }^2$, which is derived from real data. The distribution of patients in the ($\delta$, ${\epsilon }^2$)-plane yields a neat separation of the healthy from the congestive heart failure subjects.

submitted to Physical Review Letters, 5 figures

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