title: A time-domain hybrid analysis method for detecting and quantifying T-wave alternans.
abstract: 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.
authors.affiliation: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
authors.forename: Xiangkui
authors.initials: X
authors.lastname: Wan
authors.affiliation: School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
authors.forename: Kanghui
authors.initials: K
authors.lastname: Yan
authors.affiliation: Biomedical Engineering Center, Beijing University of Technology, Beijing 100022, China.
authors.forename: Linlin
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Biomedical Engineering Center, Beijing University of Technology, Beijing 100022, China.
authors.forename: Yanjun
authors.initials: Y
authors.lastname: Zeng
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D016757:Death, Sudden, Cardiac; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D016018:Least-Squares Analysis; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors