Title
Nonlinear trend estimation of the ventricular repolarization segment for T-wave alternans detection.
Abstract
Repolarization alternans or T-wave alternans (TWA) is a subject of great interest as it has been shown as a risk stratifier for sudden cardiac death. As TWA consists of subtle and nonvisible variations of the ST-T complex, its detection may become more difficult in noisy environments, such as stress testing or Holter recordings. In this paper, a technique based on the empirical-mode decomposition (EMD) to separate the useful information of the ST-T complex from noise and artifacts is proposed. The identification of the useful part of the signal is based on the study of complexity in the EMD domain by means of the Hjorth descriptors. As a result, a robust technique to extract the trend of the ST-T complex has been achieved. The evaluation of the method is carried out with the spectral method (SM) over several public domain databases with ECGs sampled at different frequencies. The results show that the SM with the proposed technique outperforms the traditional SM by more than 2 dB. Also, the robustness of this technique is guaranteed as it does not introduce any additional distortion to the detector in noiseless conditions.
Year
DOI
Venue
2010
10.1109/TBME.2010.2048109
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
electrocardiography,matrix decomposition,medical signal processing,nonlinear estimation,ECGs,Hjorth descriptors,ST-T complex,T-wave alternans detection,empirical-mode decomposition,nonlinear trend estimation,public domain databases,spectral method,ventricular repolarization segment,ECG,Hjorth descriptors,T-wave alternans (TWA),empirical-mode decomposition (EMD),repolarization
Signal processing,Computer science,Matrix decomposition,Robustness (computer science),Electronic engineering,Repolarization,T wave alternans,Distortion,Detector,Hilbert–Huang transform
Journal
Volume
Issue
ISSN
57
10
1558-2531
Citations 
PageRank 
References 
8
0.83
7
Authors
4
Name
Order
Citations
PageRank
Manuel Blanco-Velasco131430.57
Fernando Cruz-Roldán2132.32
Juan Ignacio Godino-Llorente318230.35
Kenneth E Barner435439.58