Escudo Universidad de Antioquia

Sistema de Bibliotecas

Universidad de Antioquia

Biblioteca Digital


Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10495/7652
Título : Entropies from Markov Models as Complexity Measures of Embedded Attractors
Autor : Arias Londoño, Julián David
Godino Llorente, Juan Ignacio
Palabras clave : Complexity analysis
Entropy measures
Hidden Markov models
Principal curve
Fecha de publicación : 2015
Editorial : MDPI AG
Citación : J. D. Arias and J. I. Godino, "Entropies from Markov Models as Complexity Measures of Embedded Attractors", Entropy, vol. 17, no. 6, p. 3595-3620, 2015. DOI:10.3390/e17063595
Abstract : This paper addresses the problem of measuring complexity from embedded attractors as a way to characterize changes in the dynamical behavior of different types of systems with a quasi-periodic behavior by observing their outputs. With the aim of measuring the stability of the trajectories of the attractor along time, this paper proposes three new estimations of entropy that are derived from a Markov model of the embedded attractor. The proposed estimators are compared with traditional nonparametric entropy measures, such as approximate entropy, sample entropy and fuzzy entropy, which only take into account the spatial dimension of the trajectory. The method proposes the use of an unsupervised algorithm to find the principal curve, which is considered as the “profile trajectory”, that will serve to adjust the Markov model. The new entropy measures are evaluated using three synthetic experiments and three datasets of physiological signals. In terms of consistency and discrimination capabilities, the results show that the proposed measures perform better than the other entropy measures used for comparison purposes.
Grupo de INV. : Simulación de Comportamientos de Sistemas (SICOSIS)
URI : http://hdl.handle.net/10495/7652
ISSN : 10994300
Aparece en las colecciones: CIA (Centro de Investigaciones Ambientales y de Ingeniería)

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
AriasJulian_2015_EntropiesMarkovModels.pdfArtículo de Revista729,91 kBAdobe PDFVisualizar/Abrir


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons

 


Unidad de Gestión Tecnológica /Sistema de Bibliotecas / Universidad de Antioquia / Cl. 67 Nº 53 - 108 - Bloque 8 Conmutador: 219 51 51- 219 51 40 comunicacionessistemadebibliotecas@udea.edu.co Medellín - Colombia