| 一种基于经验模态分解的时频分布及其在EEG分析中的应用 |
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| 引用本文： | 李小兵,初孟,邱天爽,鲍海平.一种基于经验模态分解的时频分布及其在EEG分析中的应用[J].生物医学工程学杂志,2007,24(5):990-995. |
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| 作者姓名： | 李小兵 初孟 邱天爽 鲍海平 |
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| 作者单位： | 1. 大连理工大学,电子与信息工程学院,大连,116024
2. 大连医科大学,附属第二医院,大连,116023 |
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| 基金项目： | 国家自然科学基金;辽宁省科技计划 |
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| 摘 要： | Hilbert-Huang变换是一种新的分析非线性非平稳信号的时频方法,这种方法的关键部分是经验模态分解(EMD)方法,任何复杂的信号都可以通过EM D分解为有限数目并且具有一定物理意义的固有模态函数。我们结合该方法给出一种抑制Wigner-Ville分布交叉项的新方法,并将其应用于癫痫脑电信号(EEG)中,且得到了比较好的结果。
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| 关 键 词： | 经验模态分解法 Wigner-Ville分布 脑电信号 |
| 修稿时间： | 2005-05-11 |
An EMD Based Time-Frequency Distribution and Its Application in EEG Analysis |
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| Li Xiaobing,Chu Meng,Qiu Tianshuang,Bao Haiping.An EMD Based Time-Frequency Distribution and Its Application in EEG Analysis[J].Journal of Biomedical Engineering,2007,24(5):990-995. |
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| Authors: | Li Xiaobing Chu Meng Qiu Tianshuang Bao Haiping |
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| Institution: | 1.Department of Electronic Engineering, Dalian University of Technology, Dalian 116024,China; 2.The 2nd Attached Hospital of Dalian Medical University, Dalian 116023,China |
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| Abstract: | Hilbert-Huang transform(HHT) is a new time-frequency analytic method to analyze the nonlinear and the non-stationary signals.The key step of this method is the empirical mode decomposition(EMD),with which any complicated signal can be decomposed into a finite and small number of intrinsic mode functions (IMF).In this paper,a new EMD based method for suppressing the cross-term of Wigner-Ville distribution(WVD) is developed and is applied to analyze the epileptic EEG signals.The simulation data and analysis results show that the new method suppresses the cross-term of the WVD effectively with an excellent resolution. |
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| Keywords: | Empirical mode decomposition(EMD) Wigner-Ville distribution Electroencephalogram(EEG) |
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