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基于经验模式分解和独立分量分析的单导少次EP信号提取 被引量：2

Single EP Signal Few-trial Extraction Based on Empirical Model Decomposition and Independent Component Analysis
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摘要 EP信号的单导少次提取一直是生物医学信号处理领域倍受关注的问题。本研究利用经验模式分解(EMD),把单导脑电信号(EP+EEG)分解成多个基本模式分量(IMF)之和,进而选取合适的基本模式分量或者它们的组合,构成1导或多导参考信号,再利用独立分量分析(ICA)成功提取出了期望的EP信号,从而克服了ICA需要多导观测信号的要求。仿真实验证明了本方法的有效性。 Single evoked potential （EP） signal few-trial extraction is always the interesting field in biomedical signal processing. We decomposed a single signal （EP ＋ EEG） into several intrinsic mode functions （IMF） with empirical model decomposition （EMD）. Then a proper IMF or a combination of a few IMFs was selected to create one or more reference signal （ s）, and the expected EP signal was extracted by independent component analysis （ ICA）. The simulation results demonstrated that the proposed method was efficient for extracting EP signal with single noise contaminated signal.
作者 毕晓辉 邱天爽 朱勇 赵燕斌
机构地区 大连理工大学电子与信息工程学院
出处 《中国生物医学工程学报》 CAS CSCD 北大核心 2008年第6期817-821,共5页 Chinese Journal of Biomedical Engineering
基金 国家自然科学基金资助项目(30570475) 教育部博士点基金资助项目(20050141025)
关键词 经验模式分解 独立分量分析 EP信号 empirical model decomposition independent component analysis EP signal
分类号 R318.08 [医药卫生—生物医学工程]
  • 相关文献

参考文献10

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共引文献62

同被引文献29

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二级引证文献11

中国生物医学工程学报
2008年 第6期

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