【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。更多还原

【Abstract】 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.更多还原