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Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time seriesThe healthy heartbeat is traditionally thought to be regulated according to the classical principle of homeostasis whereby physiologic systems operate to reduce variability and achieve an equilibrium-like state [Physiol. Rev. 9, 399-431 (1929)]. However, recent studies [Phys. Rev. Lett. 70, 1343-1346 (1993); Fractals in Biology and Medicine (Birkhauser-Verlag, Basel, 1994), pp. 55-65] reveal that under normal conditions, beat-to-beat fluctuations in heart rate display the kind of long-range correlations typically exhibited by dynamical systems far from equilibrium [Phys. Rev. Lett. 59, 381-384 (1987)]. In contrast, heart rate time series from patients with severe congestive heart failure show a breakdown of this long-range correlation behavior. We describe a new method--detrended fluctuation analysis (DFA)--for quantifying this correlation property in non-stationary physiological time series. Application of this technique shows evidence for a crossover phenomenon associated with a change in short and long-range scaling exponents. This method may be of use in distinguishing healthy from pathologic data sets based on differences in these scaling properties.
Document ID
20040090096
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Peng, C. K.
(Harvard Medical School Boston, Massachusetts 02215, United States)
Havlin, S.
Stanley, H. E.
Goldberger, A. L.
Date Acquired
August 21, 2013
Publication Date
January 1, 1995
Publication Information
Publication: Chaos (Woodbury, N.Y.)
Volume: 5
Issue: 1
ISSN: 1054-1500
Subject Category
Aerospace Medicine
Distribution Limits
Public
Copyright
Other
Keywords
NASA Discipline Number 14-10
NASA Program Space Physiology and Countermeasures
Non-NASA Center
NASA Discipline Cardiopulmonary

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