Comput Math Methods Med - A time-domain hybrid analysis method for detecting and quantifying T-wave alternans.

Tópicos

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Resumo

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.

Resumo Limpo

twave alternan twa surfac electrocardiograph ecg signal recogn marker cardiac electr instabl hypothes associ increas risk ventricular arrhythmia among patient novel timedomain twa hybrid analysi method ham util correl method least squar regress techniqu describ paper simul ecg contain artifici twa case absenc twa presenc stationari timevari phaserevers twa differ baselin wander use test method result show ham better abil quantifi twa amplitud compar correl method cm adapt match filter method amfm ham subsequ use analyz clinic ecg result produc ham general demonstr consist produc cm amfm quantifi twa amplitud ham univers higher two method

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