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Use of the Wavelet Transform for Time-Frequency Localization of Late Potentials

Use of the Wavelet Transform for Time-Frequency Localization of Late Potentials Several methods have been developped to obtain relevant Information from signal-averaged high-resolution ECG Signals. Time-domain and frequency-domain analysis in separate have not proved to give sufilcient diagnostic power in recent years. Detection of high-frequency low-amplitude Signals such äs late Potentials needs combined time-frequency analysis. Several problems arise in the attempt to use STFT for this purpose. The way of solving some of them leads to diminishing or eliminating the most significant part of the Signal- the nonstationarity. This paper examines the Wavelet Transform to obtain time-frequency distributions of enhanced time resolution for higher-frequency signal components in the detection of late potentials. We employeed the wavelet of Morlet with three sets of analysing waves distributed evenly in the frequency ränge of interest. I.INTRODUCTION Detection of relatively high-frequency low-amplitude Signals such äs late potentials (LP's) in the terminal portion of the QRS-complex in patients after myocardial infarction (MI) is considered indicative of risk for developing malignant ventricular tachycardia (VT) later on. Since LP's are of unknown and/or possibly varying frequency superimposed on a relatively large-amplitude but slow changing electrocardiographic wave, time-domain analysis alone is not able to accurately detect these pathologic oscillations, although high-pass filtering is normally used prior to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biomedizinische Technik / Biomedical Engineering de Gruyter

Use of the Wavelet Transform for Time-Frequency Localization of Late Potentials

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References (5)

Publisher
de Gruyter
Copyright
Copyright © 2009 Walter de Gruyter
ISSN
0013-5585
eISSN
1862-278X
DOI
10.1515/bmte.1993.38.s1.87
Publisher site
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Abstract

Several methods have been developped to obtain relevant Information from signal-averaged high-resolution ECG Signals. Time-domain and frequency-domain analysis in separate have not proved to give sufilcient diagnostic power in recent years. Detection of high-frequency low-amplitude Signals such äs late Potentials needs combined time-frequency analysis. Several problems arise in the attempt to use STFT for this purpose. The way of solving some of them leads to diminishing or eliminating the most significant part of the Signal- the nonstationarity. This paper examines the Wavelet Transform to obtain time-frequency distributions of enhanced time resolution for higher-frequency signal components in the detection of late potentials. We employeed the wavelet of Morlet with three sets of analysing waves distributed evenly in the frequency ränge of interest. I.INTRODUCTION Detection of relatively high-frequency low-amplitude Signals such äs late potentials (LP's) in the terminal portion of the QRS-complex in patients after myocardial infarction (MI) is considered indicative of risk for developing malignant ventricular tachycardia (VT) later on. Since LP's are of unknown and/or possibly varying frequency superimposed on a relatively large-amplitude but slow changing electrocardiographic wave, time-domain analysis alone is not able to accurately detect these pathologic oscillations, although high-pass filtering is normally used prior to

Journal

Biomedizinische Technik / Biomedical Engineering – de Gruyter

Published: Jan 1, 1993

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