Regeneration of stochastic processes: An inverse method

Ghasemi, F ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1140/epjb/e2005-00339-4
  3. Publisher: 2005
  4. Abstract:
  5. 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. © EDP Sciences/Società Italiana di Fisica/Springer- Verlag 2005
  6. Keywords:
  7. Cardiology ; Cognitive systems ; Data processing ; Diagnosis ; Diseases ; Inverse problems ; Congestive heart failure ; Disease development ; Heart rate ; Inverse methods ; Random processes
  8. Source: European Physical Journal B ; Volume 47, Issue 3 , 2005 , Pages 411-415 ; 14346028 (ISSN)
  9. URL: https://link.springer.com/article/10.1140/epjb/e2005-00339-4