Bioelectrical impedance analysis (BIA) is a widely used method for estimating body composition, particularly body fat and muscle mass. It works by passing a weak electric current through the body and measuring the resulting voltage to calculate the body’s impedance (resistance). Since muscle tissue contains more water than fat tissue, individuals with higher muscle mass exhibit lower impedance due to their higher water content. The research presented in this paper aims to improve the accuracy of BIA by analyzing analog front‐end and current pump circuits using Multisim. The primary focus of the Multisim circuit is to generate the multifrequency constant current from the current pump circuit that the BIA device will output to pass through the body model to create Cole–Cole curve. Addition of the passive electrical components such as capacitors and inductors simulates how the human body model reacts to that frequency, which is the focus of this paper. Previous research typically represented the human body using simple models with capacitance and its reactance, but these models did not account for the phase lag produced by the body. To address this, inductors were added to the Multisim circuit to simulate this lag. The capacitor’s value was carefully chosen and adjusted in Fricke’s circuit by trial and error to match the necessary Cole–Cole plot, which is essential for accurate BIA. Following this, an inductor was added and tested to determine the correct value needed for the circuit, ensuring it also aligned with the Cole–Cole plot. After individually adjusting the capacitor and inductor, both components were integrated into the circuit. The combined effect of the capacitor and inductor was studied, particularly the time delays required to correct the impedance to fit the Cole–Cole plot accurately. Finally, the resistors’ values in Fricke’s circuit were varied, and the relationship between these changes, and the resulting time delays was analyzed to further refine the model.
JungHun Choi (Thu,) studied this question.