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一种基于AD5933阻抗转换器的低成本、便携式二维生物阻抗分布估计系统。

A low-cost, portable, two-dimensional bioimpedance distribution estimation system based on the AD5933 impedance converter.

作者信息

Muñoz Juan D, Mosquera Víctor H, Rengifo Carlos F

机构信息

Research Group of Automation, Universidad del Cauca, Colombia.

Department of Electronic Instrumentation and Control, Universidad del Cauca, Colombia.

出版信息

HardwareX. 2022 Feb 8;11:e00274. doi: 10.1016/j.ohx.2022.e00274. eCollection 2022 Apr.

DOI:10.1016/j.ohx.2022.e00274
PMID:35509922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9058721/
Abstract

This study proposes a low-cost, portable, eight-channel electrical impedance tomograph based on the AD5933 impedance converter. The patterns for current injection and voltage measurement are managed by an Arduino Mega 2560 board and four 74HC4067 Texas Instruments multiplexers. Regarding the experimental results, the errors in the impedance estimates of an electrical circuit that represents a Cole model were less than 1.14% for the magnitude and 4.15% for the phase. Furthermore, the signal-to-noise ratio measured in a resistive phantom was 55.23 dB. Additional experiments consisted of placing five spheres of different size and conductivity in a saline tank, measuring their impedance through eight electrodes, and then generating impedance maps using the Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software (EIDORS). These maps were different for each sphere, suggesting the proposed prototype as a promising alternative for medical applications.

摘要

本研究提出了一种基于AD5933阻抗转换器的低成本、便携式八通道电阻抗断层成像仪。电流注入和电压测量模式由Arduino Mega 2560开发板和四个德州仪器的74HC4067多路复用器进行管理。关于实验结果,代表科尔模型的电路阻抗估计中的幅度误差小于1.14%,相位误差小于4.15%。此外,在电阻性体模中测得的信噪比为55.23 dB。额外的实验包括将五个不同大小和电导率的球体放置在盐水中,通过八个电极测量它们的阻抗,然后使用电阻抗断层成像和扩散光学断层成像重建软件(EIDORS)生成阻抗图。每个球体的这些图都不同,这表明所提出的原型是医学应用中一个有前景的替代方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/3f38672c2e5f/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/78b02c27baa7/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/0641676e5630/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/5401e431fbff/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/23c97e13b791/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/33bf60800739/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/4c742a1110d3/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/875509a76935/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/3f38672c2e5f/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/78b02c27baa7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/f61e7fec6364/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/0641676e5630/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/5401e431fbff/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/23c97e13b791/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/33bf60800739/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/4c742a1110d3/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/875509a76935/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f1/9058721/3f38672c2e5f/gr13.jpg

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