Time-domain signal averaged ECG (SAECG) has been established as a useful non-invasive test for risk stratification of malignant ventricular tachyarrhythmias, especially in the post-myocardial infarction period. It has very high negative predictive acuracy byt a relatively low positive predictive value. That is why there has been continued efforts to optimise the overall predictive value of the test. Four general approaches have shown promising results. One, is the realisation that varying criteria of the SAECG may be required for different clinical indication. Second. the problem that different filtering techniques may produce discordant results of SAECG time-domain analysis (on this specific topic we report the data of GISSI 3 Study, subatrial arrhythmias). Third, the observation that combined time-domain and frequency-domain analysis of the SAECG can significantly improve its overall predictive accuracy. The last is relatd to the opportunity that the test has been utilised as a part of an algorithm in conjunction with several other risk stratifiers
Time and frequency-domain signal average ECG towards the 2000th.
Nollo, Giandomenico
1998-01-01
Abstract
Time-domain signal averaged ECG (SAECG) has been established as a useful non-invasive test for risk stratification of malignant ventricular tachyarrhythmias, especially in the post-myocardial infarction period. It has very high negative predictive acuracy byt a relatively low positive predictive value. That is why there has been continued efforts to optimise the overall predictive value of the test. Four general approaches have shown promising results. One, is the realisation that varying criteria of the SAECG may be required for different clinical indication. Second. the problem that different filtering techniques may produce discordant results of SAECG time-domain analysis (on this specific topic we report the data of GISSI 3 Study, subatrial arrhythmias). Third, the observation that combined time-domain and frequency-domain analysis of the SAECG can significantly improve its overall predictive accuracy. The last is relatd to the opportunity that the test has been utilised as a part of an algorithm in conjunction with several other risk stratifiersI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
