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Possibilistic Entropy: A New Method for Nonlinear Dynamical Analysis of Biosignals

  • Tuan D. Pham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6881)

Abstract

The theory of nonlinear dynamical systems has opened doors to discovering potential patterns hidden in complex time-series data. An attrative approach to nonlinear time-series analysis is the measure of predictability which characterizes the data in terms of entropy. A new entropy measure is presented in this paper as a new nonlinear dynamical method, which is based on the theory of possibility and the kriging computation. The proposed model has the potential for studying complex biosignals.

Keywords

Major Adverse Cardiac Event Ordinary Krig Anion Exchange Resin Entropy Measure Nonlinear Dynamical Analysis 
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

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tuan D. Pham
    • 1
  1. 1.School of Engineeering and Information TechnologyThe University of New South WalesCanberraAustralia

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