Document Detail

Nonlinear trend estimation of the ventricular repolarization segment for T-wave alternans detection.
MedLine Citation:
PMID:  20409985     Owner:  NLM     Status:  MEDLINE    
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.
Manuel Blanco-Velasco; Fernando Cruz-Roldán; Juan Ignacio Godino-Llorente; Kenneth E Barner
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-04-19
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  57     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-20     Completed Date:  2011-01-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2402-12     Citation Subset:  IM    
Department of Signal Theory and Communications, Universidad de Alcalá, Madrid 28805, Spain.
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MeSH Terms
Computer Simulation
Databases, Factual
Electrocardiography / methods*
Heart Ventricles / physiopathology
Models, Cardiovascular*
Nonlinear Dynamics
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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