摘要
简要介绍了独立分量分析(ICA)的基本思想及算法,ICA是盲信源分离理论发展的新技术,本研究以FastICA为例,将其应用在基于临床多导脑电的伪迹分析与分离研究。实验结果表明:ICA可以将脑电信号中包含的眼电、工频干扰等多种干扰信号成功地分离出来,较好地完成了脑电伪迹消除处理工作。
This paper introduces the basic theory and arithmetic of Independent Component Analysis which is a novel technology developed for Blind Source Separation. The Fast ICA arithmetic is applied as an example in analysis and separation of artifacts in clinical multiple channel EEG The experiment results testify that by using ICA method artifacts in EEG such as EOG and power line interference can be separated and removed effectively.
出处
《中国医疗器械杂志》
CAS
2010年第1期12-15,共4页
Chinese Journal of Medical Instrumentation
