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

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.

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A TIME-DOMAIN HYBRID ANALYSIS METHOD FOR DETECTING AND QUANTIFYING T-WAVE ALTERNANS

Russian Journal of Cardiology ◽

10.15829/1560-4071-2014-4-eng-46-53 ◽

2014 ◽

pp. 46-53

Author(s):

Xiangkui Wan ◽

Kanghui Yan ◽

Jun Zhang ◽

Yanjun Zeng

Keyword(s):

Time Domain ◽

Analysis Method ◽

Hybrid Analysis ◽

T Wave ◽

T Wave Alternans

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Faculty Opinions recommendation of Late gadolinium enhancement of cardiac magnetic resonance imaging indicates abnormalities of time-domain T-wave alternans in hypertrophic cardiomyopathy with ventricular tachycardia.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.725451610.793533532 ◽

2017 ◽

Author(s):

Brian Olshansky

Keyword(s):

Magnetic Resonance Imaging ◽

Ventricular Tachycardia ◽

Cardiac Magnetic Resonance ◽

Late Gadolinium Enhancement ◽

Hypertrophic Cardiomyopathy ◽

Time Domain ◽

Resonance Imaging ◽

Gadolinium Enhancement ◽

T Wave ◽

T Wave Alternans

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Circadian Variation of the Incidence of Time-Domain T-Wave Alternans and Sinus Cycle Length at TWA in Patient with Implantable Cardiovereter Defibrillator

Journal of Arrhythmia ◽

10.4020/jhrs.27.pj2_039 ◽

2011 ◽

Vol 27 (Supplement) ◽

pp. PJ2_039

Author(s):

Kohko Kanazawa ◽

Hiroto Takeda ◽

Atsuro Masuda ◽

Yuichi Nakamura ◽

Goro Ishida ◽

...

Keyword(s):

Time Domain ◽

Cycle Length ◽

Circadian Variation ◽

T Wave ◽

Sinus Cycle Length ◽

T Wave Alternans

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A MODIFIED CORRELATION METHOD FOR T-WAVE ALTERNANS DETECTION

Biomedical Engineering Applications Basis and Communications ◽

10.4015/s1016237213500300 ◽

2013 ◽

Vol 25 (03) ◽

pp. 1350030

Author(s):

Xiangkui Wan ◽

Kanghui Yan ◽

Minggui Li ◽

Dingcheng Xiang

Keyword(s):

Heart Diseases ◽

Correlation Method ◽

Absolute Difference ◽

T Wave ◽

Formidable Challenge ◽

Maximum Absolute Difference ◽

T Wave Alternans ◽

Improved Performance ◽

The Time Domain ◽

Electrocardiogram Ecg

Identification of individuals who are at risk for sudden cardiac death (SCD) remains a formidable challenge. T-wave alternans (TWA) evaluation is emerging as an important tool for risk stratification in patients with heart diseases. Several methods have been developed in recent years to detect and quantify TWA. One such method is known as the correlation method (CM). This method performs well for different levels of TWA and phase shifts in the time domain, but it is sensitive to noise and requires higher quality of electrocardiogram (ECG) signal for test. In this paper, we propose a modified correlation method (MCM) to ensure a robust and accuracy detection of TWA. Compared with CM, MCM add a stage of T-wave curve fitting before media T-wave template, and the TWA magnitude is obtained by meaning the maximum absolute difference between even and odd T-wave. Our assessment study demonstrates the improved performance of the proposed algorithm.

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