Study of the distinguishability of electrical impedance scanning system based on the FEM model
Conference: BIBE 2018 - International Conference on Biological Information and Biomedical Engineering
06/06/2018 - 06/08/2018 at Shanghai, China
Proceedings: BIBE 2018
Pages: 4Language: englishTyp: PDF
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Authors:
Wang, Ruiqing; Shi, Xuetao; Liu, Benyuan; Dong, Xiuzhen; Ji, Zhenyu (Department of Medical Electronic Engineering, Faculty of Biomedical Engineering, Fourth Military Medical University, Xi’an, China)
Abstract:
Objective: The distinguishability of Electrical impedance scanning (EIS) determines the clinical diagnosis accuracy. To direct the EIS clinical application, it is important to investigate the relationship between the distinguishability and its influencing factors. Methods: To evaluate the distinguishability of EIS under different conditions, a simulation model was developed by finite element method (FEM). The fitting curves and regression equations were acquired by analysing simulation data. Results: The distinguishability of EIS had an exponential relationship with conductivity ratio (target vs. background) and measuring depth. Moreover, it has a quadratic polynomial relationship with the size of the target. Under extreme conditions, the maximum measuring depth was 35 mm, the side-length of the smallest detectable target was 1.2 mm, and the least detectable conductivity difference between the target and the background was 1.26:1. Conclusion: By increasing the precision of the measuring system and decreasing the skin impedance, the system distinguishability can be improved. The results of this study provided the bases for EIS diagnosis in clinical practice.