基于参考信号的ICA方法进行诱发电位单导提取  

Single Channel Evoked Potentials Estimation Based on ICA Algorithm with Reference Signals

作　　者：郭文强[1] 潘丽[2] 赵玉章[2] 邱天爽[3] 

机构地区：[1]电子科技大学,成都611731 [2]新疆财经大学,乌鲁木齐830012 [3]大连理工大学,大连116024

出　　处：《生物医学工程学进展》2008年第1期8-12,共5页Progress in Biomedical Engineering

基　　金：国家自然科学基金(No.30170259)

摘　　要：诱发电位(EP)信号的检测与分析技术是临床医学诊断神经系统损伤及病变的重要手段之一,但是EP信号总是淹没在人体自发产生的脑电图信号(EEG)中。因此,为利用EP信号诊断神经系统的损伤和病变,本文使用带参考信号的独立分量分析(ICA)方法从混合信号中快速将EP信号提取出来。计算机模拟表明,采用带参考信号的ICA方法可以从单导混合信号中有效地将EP信号提取出来。The detection and analysis technology of evoked potentials （EPs） is an important means in clinical diagnosis for injury or disease of the central nervous system. Generally, the EP signals obtained from the body surface are always contaminated by heavy noises. Therefore, it is necessary to remove such noises like EEG from mixed signals in order to detect the injury or disease reliably. Based on ICA algorithm with reference signals, a method of fast estimating EPs was proposed in this paper. It is clear from computer simulations that the ICA algorithm with reference signals is much more effective for signal and noise separation than the traditional methods.

关 键 词：参考信号 独立分量分析(ICA) 诱发电位(EP) 零极点 

分 类 号：R318[医药卫生—生物医学工程]