Using the Wavelet Transform for T-wave alternans detection

Authors:
Macarena Boix;BegoñA Cantó;David Cuesta;Pau Micó
Affiliations:
Departamento de Matemática Aplicada, Universidad Politécnica de Valencia, Escuela Politécnica Superior de Alcoy, Plaza Ferrándiz y Carbonell 2, 03801 Alcoy (Alicante), Spain;Instituto de Matemática Multidisciplinar, Universidad Politécnica de Valencia, 46022 Valencia, Spain;Departamento de Informática de Sistemas y Computadores, Universidad Politécnica de Valencia, Escuela Politécnica Superior de Alcoy, Plaza Ferrándiz y Carbonell 2, 03801 Alcoy ( ...;Departamento de Informática de Sistemas y Computadores, Universidad Politécnica de Valencia, Escuela Politécnica Superior de Alcoy, Plaza Ferrándiz y Carbonell 2, 03801 Alcoy ( ...
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2009

Citing 4
Cited 1

Characterization of Signals from Multiscale Edges

IEEE Transactions on Pattern Analysis and Machine Intelligence
Foetal ECG recovery using dynamic neural networks

Artificial Intelligence in Medicine
Zero-crossings of a wavelet transform

IEEE Transactions on Information Theory
Singularity detection and processing with wavelets

IEEE Transactions on Information Theory - Part 2

Non-linear trend estimation of cardiac repolarization using wavelet thresholding for improved T-wave alternans analysis

Digital Signal Processing

Quantified Score

Hi-index	0.98

Visualization

Abstract

This paper presents T-wave alternans (TWA) detection, applying the Wavelet Transform (WT) to electrocardiographic (ECG) synthetic signals. The TWA is generated with or without the sinusoidal addition of the wave with the required electrical level from 0.01 to 1 mV. The TWA is measured using the difference between the amplitudes of the augmented T-waves and the normal ones.