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Single Trial Extraction of Cognitive Evoked Potential by Using EMD Based Method

机译:基于EMD的方法单次提取认知诱发电位

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摘要

Empirical mode decomposition (EMD) is a new signal decomposition method, which could decompose the nonstationary signal into several single-component intrinsic mode functions (IMFs) and each IMF has some physical meaning. This paper studied the single trial extraction of cognitive evoked potential by combining EMD and wavelet threshold filter. Experimental results showed that the EMD based method can separate the noise out of the event related potentials (ERPs) and effectively extract the weak ERPs in strong background noise. It manifested as the waveform characteristics and root mean square error (RMSE).
机译:经验模态分解(EMD)是一种新的信号分解方法,它可以将非平稳信号分解为几个单分量固有模式函数(IMF),每个IMF都有一定的物理意义。本文研究了EMD和小波阈值滤波相结合的单次尝试提取认知诱发电位的方法。实验结果表明,基于EMD的方法可以将噪声从事件相关电位(ERP)中分离出来,并有效地提取强背景噪声中的弱ERP。它表现为波形特征和均方根误差(RMSE)。

著录项

  • 来源
  • 会议地点 Hangzhou(CN)
  • 作者单位

    Faculty of Information Science Engineering, Changhzou University, 213164 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China;

    Faculty of Information Science Engineering, Changhzou University, 213164 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China;

    Faculty of Information Science Engineering, Changhzou University, 213164 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China;

    Faculty of Information Science Engineering, Changhzou University, 213164 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经系;
  • 关键词

    EMD; Wavelet threshold; ERP; Single trial extraction;

    机译:EMD;小波阈值; ERP;单次提取;

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