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

Romero Legarreta, I; Addison, Paul; Grubb, N R; Clegg, Gareth R; Robertson, C E; Watson, J N

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.

• Conference Name: Computers in Cardiology
• Start Date: Sep 25, 2005
• End Date: Sep 28, 2005
• Publication Date: 2005
• Deposit Date: Mar 26, 2015
• Peer Reviewed: Peer Reviewed
• Pages: 755-758
• Book Title: Computers in Cardiology, 2005
• ISBN: 0-7803-9337-6
• DOI: https://doi.org/10.1109/CIC.2005.1588214
• Keywords: ECG characteristic features; continuous wavelet transform;continuous wavelet transform modulus maxima; modulus maxima analysis; scalogram; signal analysis; signal correlation; time-frequency analysis
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7709
• Publisher URL: http://dx.doi.org/10.1109/CIC.2005.1588214