内模自适应卡尔曼滤波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五  

Extracting Visual Evoked Potential via a Novel Internal Model Adaptive Kalman 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136-142,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：基于确定性有用信号和扰动各自的内模建立了视觉诱发脑电（ＶＥＰ）和自发脑电（ＥＥＧ）混合信号的扩展状态空间模型．然后，将利用非线性推广卡尔曼滤波迭代型算法所形成的内模自适应卡尔曼滤波算法用于提取ＶＥＰ信号．数字仿真和临床试用结果表明了该方法的有效性．Based on the internal models of the deterministic signal or disturbance, the mixture of the visual evoked potential (VEP) and residual electro-encephalogram (EEG) is modeled by a set of augmented state-space equations. Then, an internal model adaptive kalman filtering (IMAKF) based on the non-linear extended kalman filtering iterative (EKF) algorithm is utilized for extracting the VEP with the EEG as an on-going biological background noise. Numerical simulation and clinical application have shown the effectiveness of the proposed approach.

关 键 词：视觉诱发电位 非线性推广卡尔曼滤波 内模自适应卡尔曼滤波 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]