# Multifractality in human heartbeat dynamics

@article{Ivanov1999MultifractalityIH, title={Multifractality in human heartbeat dynamics}, author={P. Ivanov and L. Amaral and A. Goldberger and S. Havlin and M. Rosenblum and Z. Struzik and H. Stanley}, journal={Nature}, year={1999}, volume={399}, pages={461-465} }

There is evidence that physiological signals under healthy conditions may have a fractal temporal structure. 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 properties. We report onevidence for multifractality in a biological dynamical system, the healthy human heartbeat, and show that the… Expand

#### 1,333 Citations

Discrimination by multifractal spectral estimation of human heartbeat interval dynamics

- Mathematics
- 2003

The complexity of the cardiac rhythm is demonstrated to exhibit self-affine multifractal variability. The dynamics of heartbeat interval time series was analyzed by application of the multifractal… Expand

Self-affine fractal variability of human heartbeat interval dynamics in health and disease

- Medicine
- European Journal of Applied Physiology
- 2003

The continuous multifractal large deviation spectrum uncovers the nonlinear fractal properties in the dynamics of heart rate and presents a useful diagnostic framework for discrimination and classification of patients with cardiac disease, e.g., congestive heart failure. Expand

From 1/f noise to multifractal cascades in heartbeat dynamics.

- Mathematics, Medicine
- Chaos
- 2001

The degree to which concepts developed in statistical physics can be usefully applied to physiological signals is explored, and very recent work that quantifies multifractal features in these cascades is described, and the discovery that the multifractional structure of healthy dynamics is lost with congestive heart failure is described. Expand

Fractal and Multifractal Approaches in Physiology

- Computer Science
- 2002

The degree to which concepts developed in statistical physics can be usefully applied to physiological signals is explored and the findings of fractal and multifractal properties in the human heartbeat are discussed and how they change with disease. Expand

Multiscale analysis of heart rate variability

- Computer Science
- 2006 IEEE/NLM Life Science Systems and Applications Workshop
- 2006

By analyzing a number of heart rate variability data, it is shown that the method can accurately distinguish between healthy subjects and patients with congestive heart failure and suggests that the dimension of the dynamics of the cardiovascular system is lower under the healthy than under diseased conditions. Expand

Influence of the loss of time-constants repertoire in pathologic heartbeat dynamics

- Mathematics
- 2005

We present a fractal analysis of diurnal heart interbeat time series from healthy young subjects and patients with congestive heart failure. We describe some differences between these groups by means… Expand

New computational approaches to the analysis of interbeat intervals in human subjects

- Computer Science, Mathematics
- Computing in Science & Engineering
- 2006

New computational approaches - based on new theoretical concepts - for analyzing physiological time series are described and it is shown that the application of these methods could potentially lead to a novel diagnostic tool for distinguishing healthy individuals from those with congestive heart failure. Expand

Long-Range Dependence in Heartbeat Dynamics

- Physics
- 2003

Physiologic signals are generated b complex self-regulating systems that process inputs with a broad range of characteristics [1,2,3]. Man physiological time series are extremely inhomogeneous and… Expand

Scaling Behaviour and Memory in Heart Rate of Healthy Human

- Mathematics
- 2007

We investigate a set of complex heart rate time series from healthy human in different behaviour states with the detrended fluctuation analysis and diffusion entropy (DE) method. It is proposed that… Expand

Multifractal mass exponent spectrum of complex physiological time series

- Mathematics
- 2010

Physiological signal belongs to the kind of nonstationary and time-variant ones. Thus, the nonlinear analysis methods may be better to disclose its characteristics and mechanisms. There have been… Expand

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