Abstract

Info

Title:: Extraction of bio-impedance characteristic parameters through genetic algorithm based on elitist preservation strategy

Author(s):: XU Yifan; CAO Le; HUANG Jingwei; KAN Xiu; School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Keywords:: Keywords: bio-impedance spectrum Cole-Cole model least absolute deviation elitist preservation strategy genetic algorithm

Abstract:: Abstract: Since the Cole-Cole model can effectively characterize the biological tissues and biochemical substances, it is of great significance to accurately extract the model parameters from the measured biological impedance spectrum (BIS) data. In order to solve the problem that traditional genetic algorithm has slow convergence speed and is easy to fall into local optimal solution, the population individuals characteristics, especially elite individuals, are analyzed, the fitness function is redefined by the least absolute deviation (LAD), and the elite preservation strategy is formulated. The standard BIS data set and the actual measurement situation are analyzed, and by adding singular points and random noise, three types of simulation data sets that meet the actual situation are established. Three sets of experiments were performed based on the simulation data set, and the fitting results of the proposed genetic algorithm (EGA-LAD) considering the elite retention strategy are compared with the other three algorithms. The results show that EGA-LAD has high fitting accuracy and robustness, which provides an effective tool for comprehensive and accurate analysis of the physiological and pathological state of biological tissues.