内模滤波新方法在视觉诱发脑电信号提取中的应用──提取视觉诱发脑电信号的新方法之四  

Extracting Visual Evoked Potential via a Novel Internal Model Filtering Approach

作　　者：徐宁寿[1] 张建华 曹正才[1] 潘映辐[2] 铁艳梅[2] 

机构地区：[1]北京工业大学电子信息与控制工程学院,北京100022 [2]北京友谊医院神经内科,北京100050

出　　处：《北京工业大学学报》2001年第2期129-135,共7页Journal of Beijing University of Technology

基　　金：北京市自然科学基金资助项目(3982006).

摘　　要：提出了内模滤波新方法的基本思想和设计方法．针对从强自发脑电（ＥＥＧ）背景噪声中提取视觉诱发脑电（ＶＥＰ）信号这一极低信噪比（ＳＮＲ）情况下的滤波问题，先利用递推最小二乘算法估计出典型ＶＥＰ信号的内模多项式的参数，再据此设计内模滤波器．给出了内模滤波器的设计方法，并用于提取ＶＥＰ信号．数字仿真和临床试用结果表明了内模滤波器具有低ＳＮＲ下的信噪分离能力．The fundamental idea and the systematic design procedure of a novel internal model filtering (IMF) approach are proposed to deal with the filtering problem under extremely low SNR (signal-to-noise ratio) case, such as extracting the visual evoked potential (VEP) signal embedded in strong electro-encephalogram (EEG) background activity. The internal model parameters of a typical VEP signal are estimated via the standard RLS (recursie least squares) estimation method. Then the internal model filter is designed. finally, the filter is used for extracting the VEP. Both the simulations and real clinical applications have shown its superior signal-noise separation performance in the case of low SNR.

关 键 词：视觉诱发电位 内模滤波 信噪分离 诱发脑电信号 

分 类 号：R741.044[医药卫生—神经病学与精神病学] TN911.23[医药卫生—临床医学]