【作者】 班东坡；

【导师】 王化祥；

【作者基本信息】 天津大学 ， 检测技术及自动化装置， 2004， 硕士

【摘要】 生物电阻抗测量技术(Bioelectrical Impedance Measuring Technology)是利用生物组织与器官的电特性 阻抗 导纳 介电常数等 及其变化 提取与人体生理 病理状况相关的生物医学信息的一种无损伤检测技术 这种技术具有无创廉价 安全 无毒无害 操作简便和信息丰富等特点 可以对心 脑 肺及相关循环系统进行功能评价 因此具有广泛的应用前景 目前 生物电阻抗测量系统的激励频率还局限于几百 KHz 以下的低频范围内 真正具有能穿透细胞膜 能够提取细胞内液信息的 1MHz~5MHz 激励频率的测量系统还不多见 针对上述状况 作者设计了一套激励频率在 0 1MHz 之间的多频率人体电阻抗测量系统 采用 TI 公司的 TMS320F206 作为核心控制器 并针对实际测量中 参考点 难于选择的问题 设计了一种 虚参考点 的解调方法 利用四电极法实现对人体电阻抗实部和虚部的测量 本文较全面地介绍了人体电阻抗测量系统的工作原理及软硬件设计方案 同时 利用作者设计的测量系统对构建的 R-C 三元件模拟网络进行了测量及误差分析 最后 作者针对本系统中存在的不足 提出了一些改进建议更多还原

【Abstract】 Bioelectric Impedance Measuring Technology is a non-invasive detectingtechnique which extracts biomedical information relating to human body’sphysiological and pathology status, through the change of electrical characters(impedance, admittance, permittivity) in biological tissue and organ. This technologyhas many advantages, such as non-invasive, low-cost, safety, nontoxic, hurtless, easyto operate and wealth of information. Function evaluation of heart, brain, lung andcirculation system could be achieved using this technique, so it has extensiveapplication perspective. At present, the exciting frequency of Bioelectric Impedance Measuring System isgenerally below several hundreds KHz. The measuring system which excitingfrequency range is from 1MHz to 5MHz and can penetrate cell-membrane to extractthe intracellular information remains to be settled. According to above situation, author designed a multi-frequency human body’simpedance measuring system from 0 1MHz. The key controller of this system isTMS320F206. To solve the problem, the reference point is difficult to choose, authorpresented a demodulation method, named visual reference point . With this method,the system can measure the real part and image part of human body’s impedancethrough four-electrode method. This paper introduces the principle of operation, hardware and software designsof this human body’s impedance measuring system. Measurements based on R-Cthree components simulation network were performed with this system. Theexperiment results and error analysis had also be done. Finally, some improvement suggestions were presented at the end of thesis.更多还原