[1]饶水发,戎舟. 基于ARM的32电极电阻抗成像系统设计[J].计算机技术与发展,2016,26(06):138-141.
　RAO Shui-fa,RONG Zhou. Design of 32 Electrodes Electrical Impedance Tomography System Based on ARM[J].,2016,26(06):138-141.
点击复制

 基于ARM的32电极电阻抗成像系统设计()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年06期
页码:
138-141
栏目:
应用开发研究
出版日期:
2016-06-10

文章信息/Info

Title:
 Design of 32 Electrodes Electrical Impedance Tomography System Based on ARM
文章编号:
1673-629X（2016)06-0138-04
作者:
 饶水发; 戎舟
 南京邮电大学 自动化学院
Author(s):
 RAO Shui-fa; RONG Zhou
关键词:
 ; 电阻抗成像; ARM处理器; 32电极物理模型; 32通道多路开关; 两级放大;  敏感矩阵算法
Keywords:
 ; electrical impedance tomography; ARM processor; 32 electrodes physical model; 32 channels multiplexer; two-stage amplifi-cation; sensitivity matrix algorithm
分类号:
TP33
文献标志码:
A
摘要:
 电阻抗成像是一种新型的医学成像技术，在生物信息检测与成像方面具有广阔的应用前景。针对现有电阻抗成像系统采集速度不高、实时性较低、分辨率不理想的情况，进行了改进设计。采用ARM处理器构建嵌入式电阻抗成像系统，搭建32电极物理模型作为检测对象，利用32通道多路开关实现激励电流和电压采集通道的切换，向模型中注入激励电流信号并通过前置滤波、两级放大等信号处理技术获得成像数据。采用敏感矩阵算法对有无目标时的数据差值进行图像重建。实验结果表明，该系统具有较好的成像效果，分辨率高，能有效地实现对目标区域的检测。
Abstract:
 Electrical impedance tomography is a new technique of medical imaging,which has a broad application prospect in biological information detection and imaging. In this paper,improved design is carried out in the case of low acquisition speed,poor real-time per-formance and unsatisfying resolution of the EIT system. In the experiment,an ARM processor is used to construct the embedded EIT sys-tem,the 32-electrode physical model is acted as a detection object,and the 32-channel multiplexer realizes the switching among electrode excitation and measurement channels. The excitation current signal injected into the model is passed through the pre-filter,two-stage am-plifier and other signal processing technique to get imaging data,from which difference between existence and non-existence of the tes-ting object is obtained. Further,image reconstruction of electrical impedance tomography is achieved through the sensitivity matrix algo-rithm. The experiment shows that the system has a good effect,and high resolution,and could effectively realize the detection of the target area.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(06):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(06):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(06):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(06):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(06):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(06):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(06):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(06):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(06):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(06):47.
[11]李冬晔[],康彬[]. 电阻抗成像正则化算法的优化[J].计算机技术与发展,2016,26(05):188.
　LI Dong-ye[],KANG Bin[]. Optimization of Electrical Impedance Tomography Regularization Algorithm[J].,2016,26(06):188.

更新日期/Last Update: 2016-09-26