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Multiscale aspects of cardiac control

Plamen Ch. Ivanov, Zhi Chen, Kun Hu and H. Eugene Stanley

Physica A: Statistical Mechanics and its Applications, 2004, vol. 344, issue 3, 685-704

Abstract: We report some recent attempts to understand the dynamics of complex physiologic fluctuations by adapting and extending concepts and methods developed very recently in statistical physics. We first review recent progress using wavelet-based multifractal analysis, magnitude and sign decomposition analysis and a new segmentation algorithm to quantify multiscale features of heartbeat interval series. We then investigate how heartbeat dynamics change with circadian influences and under pathologic conditions, and we discuss their possible relation to the underlaying cardiac control mechanisms. The analytic tools we discuss may be used on a wider range of physiologic signals.

Keywords: Fractal; Multifractal; Nonlinear; Scale-invariant; Magnitude; Sign; Segmentation; Cardiac control; Wake; Sleep (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:344:y:2004:i:3:p:685-704

DOI: 10.1016/j.physa.2004.08.016

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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