De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering

Dan LI; Huiqian WANG; Tong BAI; Jinzhao LIN; Yu PANG; Xiaoming JIANG; Yuhao JIANG

doi:10.11959/j.issn.1000-0801.2016321

您当前的位置：

首页 >

文章列表页 >

De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering

research and development | 更新时间：2024-06-05

- De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering
- Telecommunications Science Vol. 32, Issue 12, Pages: 93-98(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016321
  CLC： TN911.73
- Published Online：2016-12，
  
  Published：20 December 2016
- 稿件说明：
移动端阅览
Dan LI, Huiqian WANG, Tong BAI, et al. De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering[J]. Telecommunications science, 2016, 32(12): 93-98.
DOI：

Dan LI, Huiqian WANG, Tong BAI, et al. De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering[J]. Telecommunications science, 2016, 32(12): 93-98. DOI： 10.11959/j.issn.1000-0801.2016321.

摘要

常见的医学信号（如脉搏信号）包含大量的噪声，具有强烈的非线性和非平稳性。针对传统的小波变换去噪方法的缺陷，提出了一种基于双树复小波变换和形态学的去噪算法，具有结构简单、计算复杂度低等优点，有效地克服了离散小波变换的平移敏感性和频率混淆。实验表明，该算法可以有效地去除脉搏信号中工频干扰及肌电干扰等高频噪声，其信噪比及均方差等定量指标均明显优于传统的阈值去噪算法，能得到较干净的脉搏信号波形。

Abstract

Common medical signals such as pulse signals

contain a variety of noises

have strong nonlinear and non-stationary. According to the previous wavelet transformation method

a pulse signals de-noising algorithm based on dual-tree complex wavelet transform（DTCWT）was proposed. With the advantage of simple construction

clear mathematical implications and low computational complexity

this method overcame the shift sensitive and the frequency aliasing in the discrete wavelet transform. The simulation results show that this algorithm can remove the power line interference and EMG interference

and the quantitative index of SNR and mean square error is superior to the traditional threshold de-noising algorithm. Therefore

the dual-tree complex wavelet transform de-noising algorithm will obtain clear medical wave signals.

关键词

Keywords

references

王静，王庆，王震 . 基于ECG与PPG信号融合的血压检测方法研究 [J ] . 中国信息化 , 2012 ( 24 ).

WANG J , WANG Q , WANG Z . Research of blood pressure detection method based on the integration of ECG and PPG [J ] . China Information , 2012 ( 24 ).

HASAN Z , HAQUE M A . Robust heart rate estimate from PPG signal utilizing the harmonic analysis of motion signal [C ] // TENCON 2015-2015 IEEE Region 10 Conference , Nov 1 - 4 , 2015 , Macau, China . New Jersey : IEEE Press , 2015 : 1 - 4 .

冉启文，谭立英 . 小波分析与分数傅里叶变换及应用 [M ] . 北京 : 国防工业出版社， 2002 .

RAN Q W , TAN L Y . Wavelet analysis and fractional Fourier transform and applications [M ] . Beijing : National Defend Industry Press , 2002 .

PANDIT S V . Bridging disciplines for biomedicine [C ] // 18th Annual International Conference of IEEE Engineering in Medicine and Biology Society , Amsterdam, Holland , Oct 31 - Nov 3 , 1996 , New Jersey : IEEE Press , 1996 : 1406 .

李洪涛，吴晓文 . 基于小波变换和数学形态学的局部放电信号降噪算法的研究 [J ] . 陕西电力 , 2013 , 41 ( 6 ): 1 - 5 .

LI H T , WU X W . Study on denoising of partial discharge signals based on wavelet transform and mathematical morphology [J ] . Shaanxi Electric Power , 2013 , 41 ( 6 ): 1 - 5 .

LEE C M , ZHANG Y T . Reduction of motion artifacts from photoplethysmographic recordings using a wavelet de-noising approach [C ] // IEEE EMBS Asian-Pacific Conference on Biomedical Engineering , Oct 20 - 22 , 2003 , Kyoto, Japan . New Jersey : IEEE Press , 2003 : 194 - 195 .

MEYER D , WIEN F H T . Support vector machines [J ] . The Interface to Libsvm in Package , 2015 : 1071 .

王文波，张晓东，汪祥莉 . 基于独立成分分析和经验模态分解的混沌信号降噪 [J ] . 物理学报 , 2013 , 62 ( 5 ): 50201 - 050201 .

WANG W B , ZHANG X D , WANG X L . Chaotic signal denoising method based on independent component analysis and empirical mode decomposition [J ] . Acta Physica Sinica , 2013 , 62 ( 5 ): 50201 - 050201 .

DU K L , SWAMY M N S . Independent component analysis [M ] // Neural Networks and Statistical Learning . London: Springer London . 2014 : 419 - 450 .

YANG B , HE L , LIN L , et al . Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent component analysis based recursive least squares in brain-computer interface [J ] . Frontiers of Information Technology ＆ Electronic Engineering , 2015 ( 6 ): 6 .

王芳，季忠，彭承琳 . 基于双树复小波变换的心电信号去噪研究 [J ] . 仪器仪表学报 , 2013 , 34 ( 5 ): 1160 - 1166 .

WANG F , JI Z , PENG C L . Research on ECG signal denoising based on dual-tree complex wavelet transform [J ] . Chinese Journal of Scientific Instrument , 2013 , 34 ( 5 ): 1160 - 1166 .

王小兵，孙久运，汤海燕 . 一种基于数学形态学与小波域增强的滤波算法 [J ] . 微电子学与计算机 , 2012 , 29 ( 7 ): 64 - 67 .

WANG X B , SUN J Y , TANG H Y . A new filter algorithm based on mathematical morphology and wavelet domain enhancement [J ] . Microelectronics ＆ Computer , 2012 , 29 ( 7 ): 64 - 67 .

RAM M R , MADHAV K V , KRISHNA E H , et al . ICA-based improved DTCWT technique for MA reduction in PPG signals with restored respiratory information [J ] . IEEE Transactions on Instrumentation and Measurement , 2013 , 62 ( 10 ): 2639 - 2651 .

RAGHURAM M , MADHAV K V , KRISHNA E H , et al . Dual-tree complex wavelet transform for motion artifact reduction of PPG signals [C ] // 2012 IEEE International Symposium on Medical Measurements and Applications （MeMeA） , May 18 - 19 , 2012 , Budapest, Hungary . New Jersey : IEEE Press , 2012 : 1 - 4 .

KENNEL P , FIORIO C , BORNE F . Supervised image segmentation using Q-shift dual-tree complex wavelet transform coefficients with a texton approach [J ] . Pattern Analysis and Applications , 2015 : 1 - 11 .

田絮资，杨建，黄力宇 . 心电信号去噪的数学形态学滤波器 [J ] . 计算机工程与应用 , 2012 , 48 ( 2 ): 124 - 126 .

TIAN X Z , YANG J , HUANG L Y . Morphological filter to remove power-line interference and baseline wander in electrocardiogram [J ] . Computer Engineering and Applications , 2012 , 48 ( 2 ): 124 - 126 .

Views

1391

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰