[1]周百新,梁忠诚,赵阳,等.EMD及其在脑电分析中的应用研究[J].南京师范大学学报(工程技术版),2007,07(01):008-13.
　Zhou Baixin,Liang Zhongcheng,Zhao Yang,et al.EMD and Research Employed to Electroencephalogram Analysis[J].Journal of Nanjing Normal University(Engineering and Technology),2007,07(01):008-13.
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EMD及其在脑电分析中的应用研究
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
07卷
期数:
2007年01期
页码:
008-13
栏目:
出版日期:
2007-03-30

文章信息/Info

Title:
EMD and Research Employed to Electroencephalogram Analysis
作者:
周百新;梁忠诚;赵阳;王蔚;赵新红;
南京师范大学电气与自动化工程学院, 江苏南京210042
Author(s):
Zhou Baixin; Liang Zhongcheng; Zhao Yang; Wang Wei; Zhao Xinhong
School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
关键词:
经验模态分析(EMD);  脑电信号;  非平稳信号;  本征模函数(IMF);  希尔伯特谱
Keywords:
emp irical mode decom po sition ( EMD);  e lectroencepha log ram ( EEG) ;  non-stationary data s igna ; l intr insicm ode function ( IMF);  H ilbert spec trum
分类号:
TP274
摘要:
基于经验模态分解(EMD)的数据分析方法,是一种针对非线性、非平稳信号处理的新方法.使用EMD法可以将任意复杂的数据信号分解为多个有限的、数据量较小的“本征模函数”(IMF).这些本征模函数很适合求其Hilbert变换.信号的局部能量和瞬时频率都可以从其本征模函数中推导出来.这个完整的能量-频率-时间关系称为Hilbert谱,它是一种分析非线性、非平稳信号的理想方法.介绍了EMD法的原理和实现过程,给出了多个实例的本征模函数和Hilbert谱.并展示了它在非稳态信号处理中的特性.同时,还探索将这种基于EMD的分析方法应用于脑电信号的分析中,并给出了脑电信号的部分本征模函数(IMF)分量及Hilbert振幅和频谱图.试图用一种新的方法分析复杂的非平稳脑电信号.
Abstract:
Based on the Em p ir ica lM odeDecom position ( EMD), a new data ana lys is m ethod fo r processing non linear and non-stationary signal has been deve loped. The key part o fm ethod is the EMD m ethod w ith wh ich any com plicated data s igna l can be decomposed into a fin ite and o ften sm a ll number o f Intr insicM ode Functions ( IMF) that adm itw e ll - behaved H ilbert transform s. The loca l energy and instantaneous frequency of the signal can be de riv ed from the IMFs. Th is fu ll energy-frequency-tim e relation of the data signa l is called theH ilbe rt spectrum. It is an ideal for nonlinear and non-stationary da ta ana lys is. The pr inciple and sifting process of the EMD m ethod are introduced, and ana lysis results abou t some ac tua l examp les w ith EMD m e thod are also show n. The possib ility that the EMD m ethod is applied in ana lysis of an E lectroencephalog ram ( EEG) is discussed and a few Intr insicM ode Function ( IM F) com ponen ts and H ilbert spectrum of the EEG are g iv en. The EMD m ethod presented is attem pted to ana lysis the com plex non- sta tiona ry EEG da ta signal.

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备注/Memo

备注/Memo:
基金项目: 南京师范大学“ 211”学科建设基金( 1843202529 )资助项目.
作者简介: 周百新( 1957-) , 女, 副教授, 主要从事电子技术应用和信号处理等方面的教学与研究. E-m ail:zhoubaixin@ njnu. edu. cn
更新日期/Last Update: 2013-04-29