| 基于HilbertHuang变换的脉搏信号分析* |
| |
| 引用本文： | 许瑞庆,行鸿彦.基于HilbertHuang变换的脉搏信号分析*[J].中国神经再生研究,2008,12(4):671-674. |
| |
| 作者姓名： | 许瑞庆 行鸿彦 |
| |
| 作者单位： | 南京信息工程大学电子与信息工程学院;南京信息工程大学电子与信息工程学院 |
| |
| 基金项目： | 江苏省“青蓝工程”中青年学术带头人基金资助* |
| |
| 摘 要： | 在分析Hilbert-Huang变换算法的基础上,利用此变换对脉搏信号进行了分析,通过经验模态分解把脉搏信号分解为一系列固有模态函数,并分析了各固有模态的频率特征,对各模态的生物学意义进行了描述。对固有模态函数进行Hilbert变换建立了脉搏信号的Hilbert谱和边际谱。结果表明Hilbert谱比小波变换所建立的时频分布具有好的时频分辨率,解决了时间分辨率和频率分辨率互相影响的问题;边际谱比傅里叶谱有更准确的物理意义。Hilbert谱和边际谱为脉搏信号的特征提取和模式识别提供了可靠的依据。
|
| 关 键 词： | 脉搏信号 经验模态分解 Hilbert-Huang变换 时频谱 边际谱 |
Pulse signal analysis based on Hilbert-Huang transform |
| |
| Xu Rui-qing and Xing Hong-yan.Pulse signal analysis based on Hilbert-Huang transform[J].Neural Regeneration Research,2008,12(4):671-674. |
| |
| Authors: | Xu Rui-qing and Xing Hong-yan |
| |
| Institution: | School of Electronics and Information Engineering, Nanjing University of Information Science & Technology;School of Electronics and Information Engineering, Nanjing University of Information Science & Technology |
| |
| Abstract: | Based on Hilbert-Huang Transform (HHT), the pulse signal is analyzed. A serial of Intrinsic Mode Functions (IMFs) are obtained by Empirical Mode Decomposition (EMD). The frequency of each IMF is analyzed and meaning of the biology is described. The Hilbert spectrum and the marginal spectrum of pulse signal are established by HHT. The results show that Hilbert spectrum has higher time-frequency resolution than the time-frequency distribution established by wavelet transform and the interaction of the time resolution and the frequency resolution is solved, besides the marginal spectrum has more precise physical meaning than Fourier spectrum. So, HHT provides reliable basis for the feature extraction and pattern recognition of pulse signals. |
| |
| Keywords: | |
|
| 点击此处可从《中国神经再生研究》浏览原始摘要信息 |
| 点击此处可从《中国神经再生研究》下载免费的PDF全文 |
