CONTINUOUS WAVELET TRANSFORM MODULUS MAXIMA ANALYSIS OF THE ELECTROCARDIOGRAM: BEAT CHARACTERISATION AND BEAT-TO-BEAT MEASUREMENT-Reference-Cited by-同舟云学术

CONTINUOUS WAVELET TRANSFORM MODULUS MAXIMA ANALYSIS OF THE ELECTROCARDIOGRAM: BEAT CHARACTERISATION AND BEAT-TO-BEAT MEASUREMENT

Published:2005-03 Issue:01 Volume:03 Page:19-42
ISSN:0219-6913
Container-title:International Journal of Wavelets, Multiresolution and Information Processing
language:en
Short-container-title:Int. J. Wavelets Multiresolut Inf. Process.

Author:

LEGARRETA I. ROMERO¹,ADDISON P. S.¹²,REED M. J.³,GRUBB N.⁴,CLEGG G. R.³,ROBERTSON C. E.³,WATSON J. N.²

Affiliation:

1. Faculty of Engineering and Computing, Napier University, Merchiston Campus, 10 Colinton Road, Edinburgh, EH10 5DT, UK

2. Cardiodigital Ltd, Elvingston Science Centre, Gladsmuir, East Lothian, EH33 1EH, UK

3. Accident and Emergency Department, The Royal Infirmary of Edinburgh, 15 Little France Crescent, Edinburgh, EH16 4SU, UK

4. Department of Cardiology, The Royal Infirmary of Edinburgh, 15 Little France Crescent, Edinburgh, EH16 4SU, UK

Abstract

The problem of automatic beat recognition in the ECG is tackled using continuous wavelet transform modulus maxima (CWTMM). Features within a variety of ECG signals can be shown to correspond to various morphologies in the CWTMM domain. This 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. As an application of this enhanced time-frequency analysis technique for ECG signals, an R-wave detector is developed and tested using patient signals recorded in the Coronary Care Unit of the Royal Infirmary of Edinburgh (attaining a sensitivity of 99.53% and a positive predictive value of 99.73%) and with the MIT/BIH database (attaining a sensitivity of 99.70% and a positive predictive value of 99.68%).

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219691305000774

Reference25 articles.

1. Finding coordinated atrial activity during ventricular fibrillation using wavelet decomposition

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