Enhancing the precision of impedance measurement from 5 kHz to 1 MHz through self-identification of parasitic parameters

• DOI: 10.1088/1361-6579/adb9b4
• Publication Date: 2025-02-24T22:52:49Z
• Authors: Yi She; Zeyi Jiang; Qin Liu; Sirui Qiao; Yixin Ma
• Keywords: Electrical Impedance Tomography; Accuracy and precision

Abstract Objective. Electrical impedance tomography (EIT) generates cross-sectional images through non-invasive measurements from surface electrodes. While above 200 kHz can reveal intracellular properties, most existing EIT are published at frequencies below kHz. When exceed kHz, the accuracy of declines due to influence distributed circuit parameters such as parasitic capacitance, on-resistance switch and series inductance, with a more significant impact on larger impedance. To overcome this limitation, paper proposes an approach for precision measurement self-identification parameter. Approach. Firstly, identified via correction resistances in frequency range 5 1 MHz; then, is accurately modeled; finally, transfer during imaging process corrected using established model. Main results. The parameter method was verified goodness-of-fit test, confirming consistency between model's predicted values actual component. test results indicate that MHz, relative residuals follow right-skewed distribution average value 0.08%, which demonstrates high model accuracy. At error after 499 Ω resistor reduced by 12.01%, 56 pF capacitor, 0.46%. Significance. proposed extend other technologies up while ensuring good