Signal conditioning using logarithmic amplifier for biomedical applications of electrical impedance tomography

被引:0
|
作者
Saxena, M. [1 ]
Gharpure, D. C. [1 ]
Wagh, V. G. [2 ]
机构
[1] Savitribai Phule Pune Univ, Dept Elect Sci, Pune, Maharashtra, India
[2] VN Naik Coll, Pune, Maharashtra, India
关键词
electrical impedance tomography; bioimaging; signal processing; EIT;
D O I
10.1088/1361-6579/abc1b4
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Objective: The aim of this study was to explore the use of a logarithmic amplifier to improve the spatial resolution (RES) of a low-cost electrical impedance tomography (EIT) system. In an EIT system, the measured signal has a large dynamic range from mu V to mV, which requires high-RES (analog to digital conversion) cards. The logarithmic amplifier reduces the dynamic range by expanding lower values and compressing higher values, thereby improving the sensitivity and at the same time preventing the signal from saturation. In addition, a low-RES analog to digital conversion (ADC) cards can be used, making the system cost effective. This work evaluates the performance of a logarithmic amplifier and a linear amplifier used for signal conditioning in a low-cost EIT system. Approach: Two EIT systems based on a linear amplifier and logarithmic amplifier were designed. Phantom experiments were carried out with very small amounts of current injection. The signal-to-noise ratio (SNR), image quality, minimum detectable size and minimum detectable conductivity change were obtained. Main results: The logarithmic amplifier-based EIT system increased the average SNR by 4 dB. It also showed improvement in the RES and contrast-to-noise ratio of the images. The minimum size detectable by the logarithmic amplifier-based system was of radius 0.25 cm in a tank of radius 11 cm and the minimum change in conductivity detectable was 11%. Significance: Logarithmic amplifier-based signal conditioning is a promising technique for improving the spatial RES of a low-cost EIT system that has a low-RES ADC.
引用
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页数:11
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