基于自适应尺度空间滤波的脑事件关联电位单次提取

ESTIMATION OF SINGLE EVENT RELATED POTENTIALS USINGADAPTIVE SCALE SPACE FILTERING

提出一种基于自适应尺度空间滤波的脑事件关联电位单次提取方法。通过对背景噪声的分析 ,自适应地提取最大脉冲噪声宽度 ,将其作为尺度大小的基准 ,然后由此确定滤波窗口的大小 ,最后用尺度空间滤波算法对记录到的信号进行处理。实验结果表明 ,本文提出的方法不但具有良好的单次提取效果 ,而且具有很强的适应性和稳健性。

A new technique, based on the method of adaptive Scale Space Filtering(SSF) for estimation of single event related potentials(sERP), is presented. After analyzing properties of background noise of each recorded raw data, the scale factor is adaptively set according to the maximum width of the impulse noise, and then, the window length of SSF. The experiments are made with real recorded data and the results show that the performance of sERP estimation is excellent. So the method proposed is robust enough to deal with sERP processing.