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本文提出了一种消除电脑电图主要伪差（肌电伪差、眼动伪差和基线漂移）的实用有效方法．即用线性Ｋａｌｍａｎ滤波未消除脑电图的肌电伪差，用ＦＩＲ数字高通滤波器抑制眼动伪差及基线漂移，取得了良好的效果，为进一步设计脑电图的计算机自动化分析和诊断系统，解决了关键性的问题．在数据处理的同时还对线性Ｋａｌｍａｎ滤波经行了改进，即去除了肌电伪差模型，使系统更为简洁，滤波效果更好．
In this paper, we propose a practical and effective method to eliminate the main artifacts (electromyography artifacts, eye movement artifacts and baseline drift) in PCE. That is to say, the linear Kalman filter does not eliminate the electromyographic artifacts of the EEG, and the FIR digital high-pass filter is used to suppress the eye movement artifact and baseline drift. Good results have been achieved. In order to further design the electroencephalogram computer automated analysis and diagnosis system , Solved the key problem. At the same time of data processing, the linear Kalman filter is also improved, that is, the EMG artifact model is removed, which makes the system more concise and the filtering effect is better.