A comparison of Continuous Wavelet Transform and Modulus Maxima analysis of characteristic ECG features

被引：0
|
作者：
Legarreta, IR [1 ]
Addison, PS [1 ]
Grubb, NR [1 ]
Clegg, GR [1 ]
Robertson, CE [1 ]
Watson, JN [1 ]
机构：
[1] Napier Univ, Fac Engn & Comp, Edinburgh EH10 5DT, Midlothian, Scotland
来源：
COMPUTERS IN CARDIOLOGY 2005, VOL 32 | 2005年 / 32卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
The Continuous Wavelet Transform (CWT) offers a valuable tool for the analysis of signals as it provides precise location in time of high frequency components. The selection of a mother wavelet with high correlation with the signal under study provides a more accurate time-frequency analysis. Continuous Wavelet Transform Modulus Maxima (CWTMM) reduce the computational requirement by representing only the pertinent information contained within the scalogram obtained from Continuous Wavelet analysis. This new domain has an easy interpretation and offers a useful tool for the automatic characterization of the different components observed in the ECG in health and disease. The aim of this work was to compare the two time-frequency domains for ECG analysis: CWT and CWTHM, providing example applications of both methods.
引用
下载
收藏
页码：755 / 758
页数：4
相关论文
共 50 条
  • [21] Design and initialization algorithm based on modulus maxima of wavelet transform for wavelet neural network
    Zhang, DH
    Bi, YQ
    Bi, YB
    Sun, YT
    2004 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - POWERCON, VOLS 1 AND 2, 2004, : 897 - 901
  • [22] Reconstructing Sparse Signals from Dyadic Wavelet Transform Modulus Maxima
    Zhang, Zhuosheng
    Lv, Haixing
    Zhou, Qingbao
    Zhang, Hanqiu
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2014, 33 (08) : 2667 - 2674
  • [23] An Improved Denoising Method in RDTS Based on Wavelet Transform Modulus Maxima
    Wang, Zongliang
    Chang, Jun
    Zhang, Sasa
    Luo, Sha
    Jia, Chuanwu
    Jiang, Shuo
    Sun, Boning
    Liu, Yongning
    Liu, Xiaohui
    Lv, Guangping
    IEEE SENSORS JOURNAL, 2015, 15 (02) : 1061 - 1067
  • [24] RECONSTRUCTION FROM WAVELET TRANSFORM MODULUS MAXIMA USING NONEXPANSIVE PROJECTIONS
    LIEW, A
    NGUYEN, DT
    ELECTRONICS LETTERS, 1995, 31 (13) : 1038 - 1039
  • [25] LFM signals detection based on wavelet transform modulus maxima denoising
    Bo Le
    Xinzhi Liu
    Zhong Liu
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13 : 1389 - 1392
  • [26] Reconstructing Sparse Signals from Dyadic Wavelet Transform Modulus Maxima
    Zhuosheng Zhang
    Haixing Lv
    Qingbao Zhou
    Hanqiu Zhang
    Circuits, Systems, and Signal Processing, 2014, 33 : 2667 - 2674
  • [27] Wavelet transform modulus maxima-based robust logo watermarking
    Barr, Mohammad
    Serdean, Cristian
    IET IMAGE PROCESSING, 2020, 14 (04) : 697 - 708
  • [28] Application of wavelet transform modulus maxima in boundary detection of potential fields
    ZHU Baojian
    DAI Weiming
    Global Geology, 2012, 15 (04) : 281 - 285
  • [29] Application of wavelet transform modulus maxima in raman distributed temperature sensors
    Wang Z.
    Chang J.
    Zhang S.
    Luo S.
    Jia C.
    Sun B.
    Jiang S.
    Liu Y.
    Liu X.
    Lv G.
    Liu Z.
    Photonic Sensors, 2014, 4 (02) : 142 - 146
  • [30] Fractal analysis of polyethylene catalysts surface morphologies based on wavelet transform modulus maxima method
    Cen Wei
    Yang ShiFeng
    Xue Rong
    Xu RiWei
    Yu DingSheng
    SCIENCE IN CHINA SERIES B-CHEMISTRY, 2007, 50 (03): : 372 - 378
12345