一种基于自适应的脑电滤波技术

A filter technology of EEG based on adaptive filter

本文提出了一种基于自适应的脑电滤波技术，即用ＬＭＳ自适应预测滤波器来分离脑电中的平稳和不平稳成分，提取非平稳成分来压缩脑电处理数据量。为进一步设计脑电图的计算机自动分析和诊断系统，打下基础。

The article proposed a nonlinear digital filter which separates nonstationary waves from stationary background waves of the EEG. It can reduced raw data for computerized EEG analysing. This filter composed of a LMS prediction filter and a simple nonlinear function. Some examples showing the separation of spikes and slow waves from EEG data of epileptic patients are given.