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Regeneration of stochastic processes: an inverse method

  • F. Ghasemi
  • J. Peinke
  • M. Sahimi
  • M. R. Rahimi TabarEmail author
Statistical and Nonlinear Physics

Abstract.

We propose a novel inverse method that utilizes a set of data to construct a simple equation that governs the stochastic process for which the data have been measured, hence enabling us to reconstruct the stochastic process. As an example, we analyze the stochasticity in the beat-to-beat fluctuations in the heart rates of healthy subjects as well as those with congestive heart failure. The inverse method provides a novel technique for distinguishing the two classes of subjects in terms of a drift and a diffusion coefficients which behave completely differently for the two classes of subjects, hence potentially providing a novel diagnostic tool for distinguishing healthy subjects from those with congestive heart failure, even at the early stages of the disease development.

Keywords

Spectroscopy Neural Network Heart Failure Heart Rate State Physics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2005

Authors and Affiliations

  • F. Ghasemi
    • 1
  • J. Peinke
    • 2
  • M. Sahimi
    • 3
  • M. R. Rahimi Tabar
    • 1
    • 4
    Email author
  1. 1.Department of PhysicsSharif University of TechnologyTehranIran
  2. 2.Carl von Ossietzky University, Institute of PhysicsOldenburgGermany
  3. 3.Department of Chemical EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  4. 4.CNRS UMR 6529Nice Cedex 4France

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