Using Meta-heuristic Optimization to Extract Bio-impedance Parameters from an Oscillator Circuit

This paper introduces a method for extracting the Cole-impedance model parameters using a meta-heuristic optimization technique. The method is based on a single proposed resistor controlled oscillator (SRCO) where the unknown bio-impedance is embedded. At two different oscillation frequencies, the start-up oscillation condition is recorded. Then the corresponding nonlinear equations are solved using the flower pollination optimization (FPA) technique to find the optimum impedance parameters that minimize an objective error function. Experimental results are provided, and comparisons with model parameters extracted using standard Impedance Spectroscopy are shown.