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.
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页码：755 / 758
页数：4
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