| 快速独立分量分析及其在脑电信号处理中的应用 |
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| 引用本文： | 雷江震,邹俊忠,张见,李艳洪,王行愚.快速独立分量分析及其在脑电信号处理中的应用[J].上海生物医学工程,2006,27(3):159-162. |
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| 作者姓名： | 雷江震 邹俊忠 张见 李艳洪 王行愚 |
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| 作者单位： | 华东理工大学 上海200237 |
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| 摘 要： | 独立分量分析(IndependentComponentAnalysis,ICA)是一种基于信号统计特性的盲源分离方法,由于其分离的信号之间是互相独立的,所以在生物电信号去除干扰和伪迹、信号分离以及特征提取等方面有很大的潜在价值。本文提出了一种改进的快速ICA方法,提高了收敛速度。通过仿真,证明这种方法的优越性。最后利用该方法去除脑电中眼动伪迹,达到了较好的效果。
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| 关 键 词： | 独立分量分析 快速独立分量分析 脑电信号 眼动伪迹 |
| 收稿时间： | 2006-06-16 |
| 修稿时间： | 2006-06-16 |
Fast Independent Component Analysis and Its Application to EEG Signal Processing |
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| Lei Jiangzhen,Zou Junzhong,Zhang Jian,Li Yanhong,Wang Xingyu East China University of Science and Technology Shanghai.Fast Independent Component Analysis and Its Application to EEG Signal Processing[J].Shanghai Journal of Biomedical Engineering,2006,27(3):159-162. |
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| Authors: | Lei Jiangzhen Zou Junzhong Zhang Jian Li Yanhong Wang Xingyu East China University of Science and Technology Shanghai |
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| Institution: | Shanghai 200237 |
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| Abstract: | Independent Component Analysis is a method for separating blind signals based on signal statistic characteristics. The separated signals are statistically independent with each other. So ICA can be applied to removing artifacts and signal separation and feature extraction. A modified FastICA method is presented in this paper. The convergence is accelerated. Its advantage is proved with simulation. Finally, the blink artifacts are removed successfully with experiment. |
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| Keywords: | ICA FastICA EEG blink artifacts |
| 本文献已被 CNKI 维普 等数据库收录！ |
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