| 基于离散平稳小波和独立分量分析的事件相关电位单次提取方法 |
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| 引用本文： | 邱红,余世明,张瑞.基于离散平稳小波和独立分量分析的事件相关电位单次提取方法[J].机电工程,2009,26(2):88-90. |
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| 作者姓名： | 邱红 余世明 张瑞 |
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| 作者单位： | 浙江工业大学,信息学院,浙江,杭州,310014 |
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| 摘 要： | 如何在极低的信噪比下快速提取特征信号是事件相关电位（ERP）快速提取的关键技术。提出了将离散平稳小波和独立分量分析（ICA）相结合的方法以去除噪声，并提取事件相关电位。采用离散平稳小波变换分解ERP，选取多个尺度的子带信号，滤除高频噪声对应的小波系数；将串接小波系数作为独立分量分析的输入，利用FastICA算法实现事件相关电位的快速提取。仿真实验结果表明，与传统的相关平均法相比，该方法获得的结果较为满意；与单独采用独立分量分析方法相比，该方法的收敛速度更快。
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| 关 键 词： | 离散小波 独立分量分析 事件相关电位 单次提取 |
Single-trial extraction of event-related potentials based on discrete stationary wavelet and independent component analysis |
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| QIU Hong,YU Shi-ming,ZHANG Rui.Single-trial extraction of event-related potentials based on discrete stationary wavelet and independent component analysis[J].Mechanical & Electrical Engineering Magazine,2009,26(2):88-90. |
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| Authors: | QIU Hong YU Shi-ming ZHANG Rui |
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| Affiliation: | College of Information Engineering;Zhejiang University of Technology;Hangzhou 310014;China |
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| Abstract: | It is very difficult to extract event-related potentials(ERP) from spontaneous rhythms under quite a low S/N ratio.Discrete stationary wavelet transformation combined with independent component analysis(ICA) was proposed to remove noises and extract event-related potential.Firstly,ERP was decomposed by discrete stationary wavelet transformation,multi-scale signals were selected.Wavelet coefficients that combined with high-frequency noises were removed.Then all wavelet coefficients were connected to perform ... |
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| Keywords: | discrete transform independent component analysis （ICA） event-related potentials （ERP） single-trial extraction |
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