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基于电阻抗成像的肺部呼吸监测系统

何强 王武

现代电子技术2025,Vol.48Issue(24):19-24,6.
现代电子技术2025,Vol.48Issue(24):19-24,6.DOI:10.16652/j.issn.1004-373x.2025.24.003

基于电阻抗成像的肺部呼吸监测系统

Lung respiratory monitoring system based on EIT

何强 1王武1

作者信息

  • 1. 贵州大学 电气工程学院,贵州 贵阳 550025
  • 折叠

摘要

Abstract

In allusion to existing electrical impedance tomography(EIT)systems have complex structures and high costs,a low-cost and structurally simple EIT data acquisition system is designed with STM32 as the core,and a supporting upper computer control system is developed based on Matlab.The Gaussian-Newton one-step method is used for the image reconstruction and applied to the pulmonary respiration monitoring.Meanwhile,the maximum equivalent amplitude method is proposed:the maximum value of a set of analog to digital converter(ADC)conversion values is equivalent to the amplitude of the required signal,which significantly enhances the speed of data demodulation and improves the real-time performance of imaging.The designed system encompasses real-time waveform display,data storage and image reconstruction functions,supporting signal output and data acquisition within the range of 5 kHz to 100 kHz.The data demodulation experiments indicate that,in comparison with the fast Fourier transform(FFT),the maximum equivalent amplitude method can reduce the time consumed for demodulating one frame of data by 1.5 s,and the relative error of the data is less than 0.331%.The imaging experimental results demonstrate that the reconstructed image can effectively reflect the variations in the amount of air within the lungs during the respiration process,verifying the accuracy of the designed system and its feasibility for application in pulmonary respiration monitoring.

关键词

电阻抗成像/肺部呼吸监测/上位机控制系统/STM32/一步高斯牛顿法/数据解调/图像重建

Key words

electrical impedance tomography/pulmonary respiration monitoring/upper computer control system/STM32/Gaussian-Newton one-step/data demodulation/image reconstruction

分类

信息技术与安全科学

引用本文复制引用

何强,王武..基于电阻抗成像的肺部呼吸监测系统[J].现代电子技术,2025,48(24):19-24,6.

基金项目

国家自然科学基金资助项目(62003106) (62003106)

现代电子技术

OA北大核心

1004-373X

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