快速ICA算法在ERP信号处理中的应用

Using the Fast-ICA Algorithm to Process ERP Signals

介绍了独立分量分析(ICA)的基本原理.针对事件相关电位(ERP)的信号特点及对快速处理的要求,引入一种快速定点ICA算法,并编写了相应的程序.利用该程序,进行了ERP实测数据的处理实验.实验显示,快速ICA算法能有效地分离和消除噪声干扰,并能改善和增强单次ERP的信号特征.文中还就实验结果和独立分量分析在ERP处理中的应用进行了讨论.

Based on the brief description of the basic fundamentals of independent component analysis (ICA), a fast fixedpoint algorithm for ICA used for noise removal of eventrelated potentials (ERP) and its signal feature improvement are presented according to ERP's character and its need of fast processing. The fast ICA and its usage in ERP signal processing are introduced and the corresponding program is given. Using the program the ERP signal processing is actualized. The results show that the ICA algorithm can effectively separate and remove artifacts, and improve the singletrial ERP signal features. At last, it conducts a discussion about the result and using of ICA in ERP.