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低阶非高斯噪声下基于BOREL谱测度的诱发电位少次提取方法 被引量：1

Estimation of Evoked Potentials Based on BOREL Measure under Fractional Order Non-Gaussian Noise
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摘要 EEG信号的非高斯特性导致了传统的EP信号提取算法的退化,为提高EP信号提取方法的韧性并实现少次提取,本研究利用BOREL谱测度的峰值确定欠定混合矩阵的基矢量,从而确定各个独立分量,并实现诱发电位的少次提取。仿真表明,利用基于BOREL测度的新方法分离前后的EP信号与EEG噪声的相关系数为0.9以上。这种方法是一种在分数低阶稳定分布噪声条件下具有良好韧性的诱发电位少次提取的新方法。 Non-Gaussian distribution of EEG leads to degeneration of traditional EPs extraction. In order to improve the robustness of the method of less trials extraction of EPs, a new method was proposed based on an estimate of the discrete spectral measure for identifying the independent components of an alpha-stable random vector for under-determined mixtures. Simulations results demonstrated that the method estimated the EEG and EP with correlation coefficient up to 0.9. The proposed method based on discrete BOREL spectral measure was robustness and could realized less trial extraction of evoked potentials.
作者 查代奉 杨耀防 车向新 李卫东 邱天爽
机构地区 九江学院电子工程学院、医学院 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 2009年第2期177-182,共6页 Chinese Journal of Biomedical Engineering
基金 国家自然科学基金资助项目(60772037) 江西省卫生厅计划项目(20072048)
关键词 α-稳定分布 BOREL测度 诱发电位 独立分量分析 alpha-stable distributions BOREL measure evoked potentials independent component analysis
分类号 R318 [医药卫生—生物医学工程]
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参考文献8

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二级参考文献14

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共引文献2

同被引文献9

  • 1LIU Hongtao, CHANG C Q, LUK K D K, et al. Compari- son of blind source separation methods in fast somatosensory- evoked potential detection [J]. J Clin Neurophysiol, 2011, 28 (2) : 170-177.
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  • 7郭玙,邱天爽,李小兵,查代奉.Alpha稳定分布噪声下单路EP信号的动态提取方法[J].中国生物医学工程学报,2008,27(5):684-688. 被引量：1
  • 8林政剑,查代奉,盛健.基于共变的非高斯噪声中诱发电位的盲分离方法[J].生物医学工程学杂志,2010,27(4):727-730. 被引量：3
  • 9陆凤波,黄知涛,彭耿,姜文利.基于时频分布的欠定混叠盲分离[J].电子学报,2011,39(9):2067-2072. 被引量：10

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中国生物医学工程学报
2009年 第2期

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