The study proposes a modeling method for nonlinear system, which predicts characteristics of the ECG R-R interval variation. For determining model equation, we adopted genetic programming method that the chromosome represented the model equation consisting of time-delayed variables, constants, and four arithmetic operators. By the genetic programming the regressive nonlinear equations were produced and evolved to find the optimal model equation which could simulate the spectral, statistical and nonlinear behavior of the given R-R interval dynamics. Experimental results showed that the evolutionary approach could find the equation that 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.
|Number of pages||9|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|State||Published - 1 Dec 2003|