A Modified Noise Model of Electrical Impedance Tomography System by Considering Colored Noises

被引：0
|
作者：
Bai, Xu [1 ]
Sun, Jiangtao [1 ]
Bai, Xue [1 ]
Sun, Shijie [1 ]
Xu, Lijun [1 ]
机构：
[1] School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing,100191, China
来源：
IEEE Transactions on Instrumentation and Measurement | 2022年 / 71卷
基金：
中国国家自然科学基金;
关键词：
Colored noise - Electrical impe dance tomography (EIT) - Integrated circuit modeling - Noise models - Performance - Power harmonic filters - Ratio analysis - Signal-to-noise ratio improvement - Tomography system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Sufficient signal-to-noise ratio (SNR) is critical to guarantee the satisfactory performance of an electrical impedance tomography (EIT) system. In this article, a thorough SNR analysis of EIT systems is presented. Besides the well-known random noise, the influences of colored noises, such as switching noise, low-frequency noise, and harmonic noise, are considered. By investigating the colored noises, a novel noise model of electrical impedance tomography systems is first proposed, which is validated by both simulation and experiment conducted in a laboratory-built electrical impedance tomography system. Finally, different conventional methods to reduce the colored noises are discussed and associated circuit-level considerations are evaluated by applying a front-end isolation structure in the laboratory-built EIT system. Overall, this work provides a more practical noise model of electrical impedance tomography systems by including the colored noises. It can serve as a guide to improve the SNR and therefore the performance of an electrical impedance tomography system for high-demanding biomedical applications. © 1963-2012 IEEE.
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