The linear regression method of the RC circuit for electrical impedance characterization

Abstract

An impedance bode plot modelling simulation has been conducted with the regression method to determine the RC model. The aim of the research is to determine the RC model and determine the resistance and capacitance of the equivalent circuit. The study uses nine RC models which are modelled into a linear regression equation and the equivalent model is determined based on the smallest error. Gradient and regression constants are used to determine the resistance and capacitance of the equivalent model. The results in the RC series show that the equivalent model is the first model with a resistance 998.580? and a capacitance 9.253 pF with an error 2.4%. While the program implementation of the RC parallel produces a resistance 999.809? and a capacitance 9.995 pF with an error 0.042%.

Measuring Biosignals with Single Circuit Boards

“…This leads to the situation that even commercial instruments are not always comparable, and there is no full agreement about the correct equivalent circuit diagram for the human body [ 128 ]. Ain et al compared nine different equivalent models by means of a simulation [ 129 ]. With new electrical components entering the market, many researchers have become aware of the new possibilities to create their own low-cost bioimpedance analysis (BIA) [ 130 , 131 ] or bioimpedance spectroscopy (BIS) devices [ 132 ], often based on Arduino, Raspberry Pi, or other single circuit boards.…”