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Jump events in the human heartbeat interval fluctuations

Hashtroud, A. M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1088/1742-5468/ab3287
  3. Publisher: Institute of Physics Publishing , 2019
  4. Abstract:
  5. Jumps are discontinuous variations in time series and one expects that the higher jump activity will cause higher uncertainty in the stochastic behavior of measured time series. Here we study jump events in beat-to-beat fluctuations in the heart rates of healthy subjects, as well as those with congestive heart failure (CHF). The analysis shows that the interbeat time series belong to the class of non-continuous stochastic processes. The estimated drift and diffusion coefficients and jump characteristics of healthy and CHF subjects reveal the distinguishability of two subjects. © 2019 IOP Publishing Ltd and SISSA Medialab srl
  6. Keywords:
  7. Nonlinear dynamics ; Stochastic processes
  8. Source: Journal of Statistical Mechanics: Theory and Experiment ; Volume 2019, Issue 8 , 2019 ; 17425468 (ISSN)
  9. URL: https://iopscience.iop.org/article/10.1088/1742-5468/ab3287