Signal averaged ECG of every patient was recorded using SAECG
recording machine 1200 EPX High Resolution Electrocardiograph' by Arrhythmia research technology incorporation, Austin, Texas'.
The clinical, echocardiogram, 12-lead resting ECG, 24-h ambulatory monitoring ECG, and SAECG variables grouped according to outcomes are reported in Table 1.
Univariate analyses of resting 12-lead ECG, echocardiogram, 24-h ambulatory monitoring ECG and SAECG as predictors of composite endpoint
is useful for risk stratification of patients at risk of developing life-threatening ventricular arrhythmias (5) and has some advantages compared to 12-lead ECG, improving the signal-to-noise ratio of a surface ECG, permitting the identification of low-amplitude (microvolt level) signals at the end of the QRS complex referred to as "late potentials" (5).
recordings were obtained for about one thousand heart beats.
Objective: The signal-averaged electrocardiography (SAECG
) is known to be a useful tool for extraction and analysis of low-amplitude signal components.
Objective: We present the improved method of recognition of sustained ventricular tachycardia (SVT) based on new filtering technique (FIR), extended signal-averaged electrocardiography (SAECG
) description by 9 parameters and the application of support vector machine (SVM) classifier.
Cardiac Arrhythmia Suppression Trial (CAST) SAECG