基于高频脑电非线性动力学参数的疾病诊断专家系统研究

Based on High- frequency EEG Nonlinear Dynamic Parameters of Disease Diagnosis Expert System Research

应用非线性动力学四个参数对脑电信号进行特征提取,应用BP人工神经网络分析了动力学参数与脑功能障碍以及疾病的关系,采用Visual C#.NET 2005、MS SQL Server 2005和Matlab 7.0技术构建了基于非线性动力学参数的疾病诊断专家系统.通过对该系统进行测试,初步达到根据相关事件的高频脑电信号对实验组和对照组人群进行鉴别分类的目的,从而初步达到病人和正常人的分类效果.

This study extracted the EEG signal characteristically with the four parameters of nonlinear dy-namics , explored the relationship between these parameters and brain dysfunction or disease by applying BP neu -ral network , and constructed the disease diagnosis expert system which based on nonlinear dynamics parameters by using Visual C#.NET 2005, MS SQL Server 2005 and Matlab 7.0 technology.Through the system testing, the initial purpose was not only classification of the experimental group and the control group populations depen -ding on the high frequency EEG related events , but also classification of the patient and the normal .