基于自适应L滤波器的脑事件关联电位单次提取

提出了一种基于自适应L滤波的脑事件关联电位单次提取方法。将背景噪声看成一系列起伏状脉冲，利用零交叉方法估计各单次记录信号中噪声的脉冲宽度，取其最大值作为基准参数，自适应地动态确定各单次滤波时所用窗口的大小。在窗口大小确定后，对各单次记录到的信号进行L滤波处理。实验所采用的刺激方式为视频奥德勃（odd-ball)模式，直接对直接数据进行处理。将实验结果与普通叠加平均结果及原始单次记录进行了对比，结果表明脑事件关联电位单次提取效果良好，所提出的方法对噪声的分布和平稳性没有特殊要求，因而具有较强的适应性和稳健性。

Estimation of Single Event Related Potentials Using Adaptive L-Filtering

Presented is a new acquiring metho d based on adaptive L-filtering (ALF) that is used for estimation of single event related potentials (sERP). The background noise is considered as a series of impulse and analyzed by zero-crossing method. The length of L-filter is adaptively set according to the maximum width of the impulse noise for each recorded raw data. The data for experiments were measured with visual odd-ball trial. The experimental results show that the performance of sERP estimation is excellent and the proposed method is robust enough to deal with sERP processing.