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Frequency domain analysis of the signal-averaged electrocardiogram. Application of statistical techniques of spectral correlation for identification of patients with sustained monomorphic ventricular tachycardia

Eduardo Corrêa Barbosa et al. P. R. Benchimol-Barbosa Paulo Ginefra Francisco Manes Albanesi Fº

PURPOSE: To evaluate the diagnostic accuracy of monomorphic ventricular tachycardia (MVT), in patients with structural heart diseases and episodes of sustained MVT, using the signal-averaged ECG (SAECG) in the time (TD) and the frequency domain (FD) with statistical techniques of spectral correlation. METHODS: Twenty seven patients with at least one episode of sustained MVT, 30 patients with structural heart diseases and no evidence of ventricular arrhythmias and 80 subjects with no evidence of heart disease have been studied. SAECG was performed in all patients with the following parameters: duration of the filtered QRS, RMS 40 and LAS40 in TD and the mean and the standard deviation of both signal energy intersegmentar spectral correlation and energy frequency edge track in FD. RESULTS: The sensitivity(S) and positive predict value (PPV) of the SAECG in TD, in FD and combined analysis of both domains were: S = 59.3%, 63.0%, 81.5% and PPV = 80.0%, 81.0%, 84.6%, respectively. CONCLUSION: The combined analysis of SAECG in TD and in FD improves the diagnostic accuracy in patients with S sustained MVT.

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Frequency domain analysis of the signal-averaged electrocardiogram. Application of statistical techniques of spectral correlation for identification of patients with sustained monomorphic ventricular tachycardia

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