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Multifractality in human heartbeat dynamics

Plamen Ch. Ivanov (), Luís A. Nunes Amaral, Ary L. Goldberger, Shlomo Havlin, Michael G. Rosenblum, Zbigniew R. Struzik and H. Eugene Stanley
Additional contact information
Plamen Ch. Ivanov: Boston University
Luís A. Nunes Amaral: Boston University
Ary L. Goldberger: Harvard Medical School, Beth Israel Deaconess Medical Center
Shlomo Havlin: Bar-Ilan University
Michael G. Rosenblum: Potsdam University
Zbigniew R. Struzik: Centre for Mathematical and Computing Science
H. Eugene Stanley: Boston University

Nature, 1999, vol. 399, issue 6735, 461-465

Abstract: Abstract There is evidence that physiological signals under healthy conditions may have a fractal temporal structure1. Here we investigate the possibility that time series generated by certain physiological control systems may be members of a special class of complex processes, termed multifractal, which require a large number of exponents to characterize their scaling properties2,3,4,5,6. We report onevidence for multifractality in a biological dynamical system, the healthy human heartbeat, and show that the multifractal character and nonlinear properties of the healthy heart rate are encoded in the Fourier phases. We uncover a loss of multifractality for a life-threatening condition, congestive heart failure.

Date: 1999
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DOI: 10.1038/20924

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