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

Author

Legarreta, I. Romero ; Addison, P.S. ; Grubb, N.R. ; Clegg, G.R. ; Robertson, C.E. ; Watson, J.N.

Author_Institution

Fac. of Eng. & Comput., Napier Univ. of Edinburgh

fYear

2005

fDate

25-28 Sept. 2005

Firstpage

755

Lastpage

758

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

Keywords

correlation methods; electrocardiography; medical signal processing; time-frequency analysis; wavelet transforms; ECG characteristic features; continuous wavelet transform; continuous wavelet transform modulus maxima; modulus maxima analysis; scalogram; signal analysis; signal correlation; time-frequency analysis; Continuous wavelet transforms; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Information analysis; Medical diagnostic imaging; Signal analysis; Time frequency analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2005

Conference_Location

Lyon

Print_ISBN

0-7803-9337-6

Type

conf

DOI

10.1109/CIC.2005.1588214

Filename

1588214