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Signal-averaged electrocardiography: Past, present, and future.

Konstantinos A GatzoulisPetros ArsenosKonstantinos TrachanasPolychronis DilaverisChristos AntoniouDimitris TsiachrisSkevos SiderisTheofilos M KolettisDimitrios Tousoulis
Published in: Journal of arrhythmia (2018)
Signal-averaged electrocardiography records delayed depolarization of myocardial areas with slow conduction that can form the substrate for monomorphic ventricular tachycardia. This technique has been examined mostly in patients with coronary artery disease, but its use has been declined over the years. However, several lines of evidence, derived from hitherto clinical data in patients with healed myocardial infarction, indicate that signal-averaged electrocardiography remains a valuable tool in risk stratification, especially when incorporated into algorithms encompassing invasive and noninvasive indices. Such an approach can aid the more precise identification of candidates for device therapy, in the context of primary prevention of sudden cardiac death. This article reappraises the value of signal-averaged electrocardiography as a predictor of arrhythmic outcome in patients with ischemic heart disease and discusses potential future indications.
Keyphrases
  • left ventricular
  • machine learning
  • heart failure
  • big data
  • artificial intelligence
  • current status
  • smoking cessation
  • replacement therapy