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Computational and Mathematical Methods in Medicine
Volume 2014 (2014), Article ID 502981, 10 pages
Research Article

A Time-Domain Hybrid Analysis Method for Detecting and Quantifying T-Wave Alternans

1School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
2School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
3Biomedical Engineering Center, Beijing University of Technology, Beijing 100022, China

Received 28 November 2013; Accepted 5 January 2014; Published 3 April 2014

Academic Editor: Emil Alexov

Copyright © 2014 Xiangkui Wan et al. 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.


T-wave alternans (TWA) in surface electrocardiograph (ECG) signals has been recognized as a marker of cardiac electrical instability and is hypothesized to be associated with increased risk for ventricular arrhythmias among patients. A novel time-domain TWA hybrid analysis method (HAM) utilizing the correlation method and least squares regression technique is described in this paper. Simulated ECGs containing artificial TWA (cases of absence of TWA and presence of stationary or time-varying or phase-reversal TWA) under different baseline wanderings are used to test the method, and the results show that HAM has a better ability of quantifying TWA amplitude compared with the correlation method (CM) and adapting match filter method (AMFM). The HAM is subsequently used to analyze the clinical ECGs, and results produced by the HAM have, in general, demonstrated consistency with those produced by the CM and the AMFM, while the quantifying TWA amplitudes by the HAM are universally higher than those by the other two methods.