[肌动蛋白解聚因子及其在生物医学信号处理中的应用研究]

[Research on EMD and its application in biomedical signal processing].

作者信息

Li Yongqin, Wang Qing, Deng Qinkai

机构信息

Medical Physics Lab., Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2005 Oct;22(5):1058-62.

PMID:16294754

Abstract

In this paper a new technique, Empirical Mode Decomposition(EMD), for use in non-stationary and non-linear data processing, was introduced. Some simulated signal, real ECG and RRI signals combined with Hilbert Transform method were analyzed. The authors also put emphasis on the differences between EMD and Wavelet Transform.

摘要

本文介绍了一种用于非平稳和非线性数据处理的新技术——经验模态分解（EMD）。分析了一些模拟信号、真实心电图和RRI信号，并结合了希尔伯特变换方法。作者还强调了EMD与小波变换之间的差异。