摘要
研究重叠在脑电信号上的主要伪差及克服伪差的几种手段,提出了用一种最佳滤波——线性时不变卡尔曼滤波消除伪差。通过采用先经FIR数字滤波器预处理再经卡尔曼滤波的方法,不仅减弱了眼动伪差,也消除了肌电伪差。实验曲线检验表明该方法用于消除脑电图伪差十分有效、简单,且适用于临床应用。
A procedure for reduction of super-imposed noise on EEG is described. An optimal linear filter —— the kalman filter has been developed which is intended to remove the artifact on EEG. The procedure consists of a preprocessing phase followed by kalman filter. The performance of the filter for removing eye movement artifact and muscle artifact is also satisfactory from the clinical standpoint.
