Key result
Signal-averaged ECG provides routine non-invasive risk stratification after MI and other cardiac diseases.
Why the study?
The signal-averaged ECG has evolved into a routinely applied non-invasive method for risk stratification after myocardial infarction, with expanding clinical applications beyond this population.
This review highlights the utility of time-domain analysis of the signal-averaged ECG for detecting ventricular late potentials and risk stratifying patients with various cardiac diseases.
Answers are grounded in this paper and cite their sources.
Supports routine SAECG use for post-MI risk stratification; leaves open need for contemporary prospective validation.
During the past decade, the high-resolution electrocardiogram as a non-invasive technique for the detection of ventricular late potentials has developed from an experimental method into a routinely applied non-invasive method for risk stratification of patients after myocardial infarction. Meanwhile, several approaches have been developed for the detection of ventricular late potentials including time-domain analysis, frequency-domain analysis and spectrotemporal mapping. Clinical applications are no longer limited to patients after myocardial infarction, but cover a wider spectrum of different cardiac diseases. This review focuses on some methodological aspects as well as on the results and current clinical applications of the analysis of the signal-averaged ECG in the time domain.
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Breithardt et al. (1993) conducted a review in Cardiac diseases (including post-myocardial infarction). Signal-averaged ECG (time-domain analysis) was evaluated. The signal-averaged ECG using time-domain analysis has developed into a routinely applied non-invasive method for risk stratification in patients after myocardial infarction and other cardiac diseases.
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