Title :
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
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;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588214
