A comparison of continuous wavelet transform and modulus maxima analysis of characteristic ECG features

I. Legarreta, P. Addison, N. Grubb, G. Clegg, C. Robertson, J. N. Watson
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引用次数: 9

Abstract

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 CWTMM, providing example applications of both methods
连续小波变换与模极大值分析心电特征的比较
连续小波变换为信号分析提供了一种有价值的工具,因为它可以精确地确定高频分量的时间位置。选取与所研究信号高度相关的母小波,可提供更精确的时频分析。连续小波变换模极大值(CWTMM)通过只表示由连续小波分析得到的尺度图中包含的相关信息来减少计算量。这个新的领域有一个简单的解释,并提供了一个有用的工具,自动表征在健康和疾病的心电图中观察到的不同成分。这项工作的目的是比较ECG分析的两个时频域:CWT和CWTMM,提供两种方法的示例应用
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