电子学报 ›› 2014, Vol. 42 ›› Issue (7): 1424-1428.DOI: 10.3969/j.issn.0372-2112.2014.07.028

• 科研通信 • 上一篇    下一篇

总体经验模态细分法提取血流超声多普勒信号的研究

林文晶1, 张榆锋1, 章克信2, 李支尧2, 李海燕1, 高莲1, 李媛媛1   

  1. 1. 云南大学信息学院电子工程系, 云南昆明 650091;
    2. 昆明医学院第二附属医院, 云南昆明 650031
  • 收稿日期:2013-07-29 修回日期:2013-12-08 出版日期:2014-07-25 发布日期:2014-07-25
  • 作者简介:林文晶 女.1989年11月出生,山西太原人.2012年毕业于云南大学,现为云南大学信号与信息处理专业硕士研究生.;张榆锋 男.1965年4月出生,云南大理人.教授、博士生导师、中国电子学会会员、IEEE高级会员.2008年在云南大学获工学博士学位.现主要从事数字信号处理理论与微弱信号检测、医学超声工程等方面的研究工作.E-mail:yfengzhang@yahoo.com
  • 基金资助:

    国家自然科学基金(No.61261007);云南省自然科学基金重点项目(No.2013FA008)

Extraction of Doppler Ultrasound Blood Signals Using the Delicate Separation Method Based on the EEMD Algorithm

LIN Wen-jing1, ZHANG Yu-feng1, ZHANG Ke-xin2, LI Zhi-yao2, LI Hai-yan1, GAO Lian1, LI Yuan-yuan1   

  1. 1. Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan 650091, China;
    2. The Second Affiliated Hospital of Kunming Medical College, Kunming, Yunnan 650031, China
  • Received:2013-07-29 Revised:2013-12-08 Online:2014-07-25 Published:2014-07-25

摘要:

提出基于总体经验模态分解(EEMD)血流细分法提高血流超声多普勒信号提取精度.首先估计辅助分析所需的白噪声幅度,进而用EEMD得到无模态混叠的本征模态函数(IMF)组,最后分离出血流信号的IMF.将本方法应用于计算机仿真和人体实测超声多普勒信号,并与高通滤波器法、原EMD法和EMD细分法比较.结果表明本文方法,提取的血流信号精度最高,特别对WBSR=70dB的混合信号,其精度比上述方法分别提高35%、38%及17%.

关键词: 血流超声信号, 血管壁搏动信号, 信号提取, 总体经验模态分解

Abstract:

A fine separation based on the ensemble empirical mode decomposition (EEMD) algorithm is proposed to improve the accuracy of the blood flow signal extraction.Firstly,a white noise with proper amplitude is estimated according to the energy of blood flow signals.Intrinsic mode functions (IMFs) without mode mixing are obtained by EEMD.Finally,those IMFs belong to the blood flow are delicately separated.Experimental results from both simulation and real human carotid Doppler signals based on the proposed method are compared with those by using the high pass filter,the original empirical mode decomposition (EMD) method and the improved EMD delicate separation method.It is shown that the proposed method provides the highest separation accuracy.Especially for those signals with larger WBSR=70dB,the accuracy is higher than those based on the methods mentioned above by 35%、38% and 17%,respectively.

Key words: Doppler blood flow signal, vessel wall signal, signal extraction, ensemble empirical mode decomposition

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