A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising

This study proposes a method for ventricular late potentials (VLPs) detection using time-frequency representation and wavelet denoising in high-resolution electrocardiography (HRECG). The analysis is performed both with the signal averaged electrocardiography (SAECG) and in real time. A comparison b...

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Detalles Bibliográficos
Autores principales: Gadaleta, Matteo, Giorgio, Agostino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scholarly Research Network 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3432549/
https://www.ncbi.nlm.nih.gov/pubmed/22957271
http://dx.doi.org/10.5402/2012/258769
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author Gadaleta, Matteo
Giorgio, Agostino
author_facet Gadaleta, Matteo
Giorgio, Agostino
author_sort Gadaleta, Matteo
collection PubMed
description This study proposes a method for ventricular late potentials (VLPs) detection using time-frequency representation and wavelet denoising in high-resolution electrocardiography (HRECG). The analysis is performed both with the signal averaged electrocardiography (SAECG) and in real time. A comparison between the temporal and the time-frequency analysis is also reported. In the first analysis the standard parameters QRSd, LAS40, and RMS40 were used; in the second normalized energy in time-frequency domain was calculated. The algorithm was tested adding artificial VLPs to real ECGs.
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spelling pubmed-34325492012-09-06 A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising Gadaleta, Matteo Giorgio, Agostino ISRN Cardiol Research Article This study proposes a method for ventricular late potentials (VLPs) detection using time-frequency representation and wavelet denoising in high-resolution electrocardiography (HRECG). The analysis is performed both with the signal averaged electrocardiography (SAECG) and in real time. A comparison between the temporal and the time-frequency analysis is also reported. In the first analysis the standard parameters QRSd, LAS40, and RMS40 were used; in the second normalized energy in time-frequency domain was calculated. The algorithm was tested adding artificial VLPs to real ECGs. International Scholarly Research Network 2012-08-26 /pmc/articles/PMC3432549/ /pubmed/22957271 http://dx.doi.org/10.5402/2012/258769 Text en Copyright © 2012 M. Gadaleta and A. Giorgio. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gadaleta, Matteo
Giorgio, Agostino
A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising
title A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising
title_full A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising
title_fullStr A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising
title_full_unstemmed A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising
title_short A Method for Ventricular Late Potentials Detection Using Time-Frequency Representation and Wavelet Denoising
title_sort method for ventricular late potentials detection using time-frequency representation and wavelet denoising
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3432549/
https://www.ncbi.nlm.nih.gov/pubmed/22957271
http://dx.doi.org/10.5402/2012/258769
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