该文档是EEGIFT的说明书，EEGIFT即为Group ICA of EEG Toolbox，它是用ica多次处理eeg数据的工具箱。

本文简要地回顾了ICA的发展历史和主要算法，综述了它在脑电信号处理中的应用及研究进展，并指出了需要进一步研究解决的问题。-This article briefly reviews the history of the development of the ICA algorithm EEG signal processing applications and research progress, and pointed out the need for further research to s

通过小波分析和独立分量分析来去除脑电信号中的运动伪迹，有很好的参考价值。-Wavelet analysis and independent component analysis to remove EEG motion artifact, a good reference value.(Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and