CAJ | 학술논문

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．
응용비선성동역학사개삼수대뇌전신호진행특정제취，응용BP인공신경망락분석료동역학삼수여뇌공능장애이급질병적관계，채용Visual C＃．NET 2005、MS SQL Server 2005화Matlab 7．0기술구건료기우비선성동역학삼수적질병진단전가계통．통과대해계통진행측시，초보체도근거상관사건적고빈뇌전신호대실험조화대조조인군진행감별분류적목적，종이초보체도병인화정상인적분류효과．
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 .