基于LabVIEW和MATLAB的骨质疏松疾病诊断系统的研究

摘要

Objective: To improve the function of osteoporosis diagnosing systems to facilitate the rapid and accurate diagnostic process to reduce the misdiagnosis rate,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.%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.