基于自适应移动平均的脑事件关联电位单次提取  

Adaptive Moving Averaging Based Estimation of Single Event Related Potentials

作　　者：齐春[1] 梁德群[2] 江学锋[1] 

机构地区：[1]西安交通大学电子与信息工程学院,西安710049 [2]大连海事大学信息学院,大连116026

出　　处：《生物医学工程学杂志》2001年第1期88-93,共6页Journal of Biomedical Engineering

基　　金：教育部科技重点项目资助!(0 0 115 )

摘　　要：提出一种基于自适应移动平均的脑事件关联电位单次提取方法。采用零交叉方法对背景噪声进行分析 ,自适应提取单次记录中的最大脉冲噪声宽度 ,将其作为窗口大小的基准 ,然后用移动平均算法对测量信号进行处理。实验结果表明 ,我们提出的方法不但具有良好的单次提取效果 ,而且具有较强的适应性和稳健性。Event-related potentials (ERP) is pertinent to medical research and clinical diagnosis. Estimation of single event-related potentials (sERP) is the objective of ERP processing. A new technique, adaptive moving averaging based method for estimation of sERP, is presented. After analysis of the properties of background noise by crossing zero, the window length of moving averaging is adaptively set according to the maximum width of the impulse noise for each recorded raw data. The experiments are made with real recorded data and the results demonstrate that the performance of sERP estimation is excellent. So the method proposed is suitable to sERP processing.

关 键 词：自适应移动平均 脑事件关联电位 单次提取 零交叉 ERP 

分 类 号：R312[医药卫生—基础医学]