Nonlinear model for ECG R-R interval variation using genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Yun Seok Chang and Kwang Suk Park and Bo Yeon Kim",
  title =        "Nonlinear model for ECG R-R interval variation using
                 genetic programming approach",
  journal =      "Future Generation Computer Systems",
  year =         "2005",
  volume =       "21",
  pages =        "1117--1123",
  number =       "7",
  abstract =     "We propose a nonlinear system modelling method, which
                 predicts characteristics of the ECG R-R interval
                 variation. For determining model equation, we adopted a
                 genetic programming method in which the chromosome
                 represents the model equation consisting of
                 time-delayed variables, constants, and four arithmetic
                 operators, and determines the fitness function. By
                 genetic programming, sequences of regressive nonlinear
                 equations are produced and evolved until the finding of
                 the optimal model equation, which could simulate the
                 spectral, statistical and nonlinear behaviour of the
                 given R-R interval dynamics. Experimental results
                 showed that the evolutionary approach could find the
                 equation which simulates the spectral and chaotic
                 dynamics of the given signal. Therefore, the proposed
                 evolutionary approach is useful for the system
                 identification of the nonlinear biological system.",
  owner =        "wlangdon",
  URL =          "",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1016/j.future.2004.03.011",

Genetic Programming entries for Yun Seok Chang Kwang Suk Park Bo Yeon Kim