基于LabVIEW和MATLAB的骨质疏松疾病诊断系统的研究.pdf

中国医学装备2011年5月第8卷第5期 China Medical Equipment 2011 May Vol.8 NO.5 学术论著 基于LabVIEW和MATLAB的骨质疏松疾病诊断系统的研究* 韦 哲① 杨紫娟②** 陈若珠② [文章编号] 1672-8270(2011)05-0001-04 [中图分类号] R 540 [文献标识码] A [摘要] 目的：建立可完善可更新功能的骨质疏松疾病诊断系统，使诊断过程方便快 速准确，从而使骨质疏松诊断误诊率有效降低。方法：采用LabVIEW中的工具包 LabSQL对Microsoft Access专家数据库进行访问，再通过BP网络对兰州军区总医院采 集的病例数据进行样本训练，用训练后的BP神经网络对LabSQL传过来的病人数据进行 分析，将得到误差小的诊断结果通过LabSQL存到专家数据库中，从而使专家数据库得 到完善和更新。结果：对大量病例进行测试结果是在误差预定的范围内，通过实例验 证了该方法的可行性和准确性。结论：基于LabVIEW和MATLAB诊断骨质疏松疾病 是可行的有效途径。 作者简介 [关键词] 骨质疏松；LabVIEW；MATLAB；BP神经网络 韦哲,男,(1963- ),博士 Osteoporosis diagnosing system based on LabVIEW and MATLAB/ WEI zhe, 研究生，高级工程师。 YANG Zi-juan, CHENG Ruo-zhu // China Medical Equipment,2011,8(5): 1-4. 兰州军区兰州总医院医 学工程科主任，主要从 [Abstract] Objective: To improve the function of osteoporosis diagnosing systems to 事医学信息检测与处理 facilitate the rapid and accurate diagnostic process to reduce the misdiagnosis rate. 方面的研究工作。 Methods: Toolkit LabSQL in LabVIEW was used to make access to the Microsoft Access database. Meanwhile, the clinical data in Lanzhou General Hospital was collected for sampling through the BP network. Finally, the expert database was established. Results: The test results of a large number of cases were within the error scope, which indicated that this database was reliable and accurate. Conclusion: The diagnosing system for osteoporosis based on LabVIEW and MATLAB is feasible and effective. [Key words] osteoporosis; LabVIEW; MATLAB; BP neural network [First-author’s address] Lanzhou General Hospital, Lanzhou Command, Lanzhou 730050, China. 1 引言