Correlated and uncorrelated regions in heart-rate fluctuations during sleep.

  title={Correlated and uncorrelated regions in heart-rate fluctuations during sleep.},
  author={Armin Bunde and Shlomo Havlin and Jan W. Kantelhardt and Thomas Penzel and J{\"o}rg Hermann Peter and K Voigt},
  journal={Physical review letters},
  volume={85 17},
Healthy sleep consists of several stages: deep sleep, light sleep, and rapid eye movement (REM) sleep. Here we show that these sleep stages can be characterized and distinguished by correlations of heart rates separated by n beats. Using the detrended fluctuation analysis (DFA) up to fourth order we find that long-range correlations reminiscent to the wake phase are present only in the REM phase. In the non-REM phases, the heart rates are uncorrelated above the typical breathing cycle time… 
Breathing during REM and non-REM sleep: correlated versus uncorrelated behaviour
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Scale-invariant Aspects of Cardiac Dynamics Across Sleep Stages and Circadian Phases
  • P. Ivanov
  • Biology
    2006 International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2006
It is found that the probability distribution, the long-range temporal correlations as well as the nonlinear properties of the heartbeat fluctuations are significantly altered with transition from sleep to wake state, across sleep-stages and circadian phases.
Scale-invariant aspects of cardiac dynamics across sleep stages and circadian phases.
We review recent attempts to understand the influence of sleep and wake states, sleep-stage transitions during sleep and the endogenous circadian rhythms on the neuroautonomic regulation of cardiac
Multifractal Analysis of Human Heartbeat in Sleep
We study the dynamical properties of heart rate variability (HRV) in sleep by analysing the scaling behaviour with the multifractal detrended fluctuation analysis method. It is well known that heart
Characterization of sleep stages by correlations in the magnitude and sign of heartbeat increments.
The findings suggest that the nonlinear properties of the heartbeat dynamics are more pronounced during REM sleep, which is useful in distinguishing between the sleep stages.
Can one detect sleep stage transitions for on-line sleep scoring by monitoring the heart rate variability?
SummaryQuestion of the studySleep stages are known to differ in the heart rate variability (HRV). REM sleep and wakefulness are characterized by long-range correlations in the heart beat rate. In


A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects.
Techniques of recording, scoring, and doubtful records are carefully considered, and Recommendations for abbreviations, types of pictorial representation, order of polygraphic tracings are suggested.
Nature (London) 392
  • 239
  • 1998
Nature (London) 258
  • 317 (1975); A. Schenkel, J. Zhang, and Y. C. Zhang, Fractals 1, 47 (1993); M. Amit et al., Fractals 2, 188 (1994); W. Ebeling and A. Neiman, Physica (Amsterdam) 215A, 233
  • 1995
For a general review on long-range correlations in biology and medicine, see
  • Fractals in Science
  • 1994
  • Rev. Lett. 58, 1100
  • 1987
  • Chest Med. 6, 595
  • 1985
A manual of Standardized Terminology
The notion "long-range correlations in the heartbeat intervals t i " is equivalent to the notion "anticorrelations in the heartbeat increments dt i t i 2 t i21