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Man vs machine: Performance of manual vs automated electrocardiogram analysis for predicting the chamber of origin of idiopathic ventricular arrhythmia.

Babken AsatryanRamin EbrahimiIvo StrebelPeter M van DamMichael KühneSven KnechtFlorian SpiesRoger AbächerliPatrick BadertscherNikola KozhuharovIvan ZeljkovicBeat SchaerStefan OsswaldChristian SticherlingTobias Reichlin
Published in: Journal of cardiovascular electrophysiology (2019)
While the manual ECG analysis of the standard 12-lead ECG by both electrophysiologists and EP fellows correctly identified the chamber of VA origin in around 75% of cases, an automated vectorcardiographic computer algorithm achieved an accuracy of 89% with clinically acceptable diagnostic parameters.
Keyphrases
  • deep learning
  • machine learning
  • heart rate variability
  • heart rate
  • heart failure
  • catheter ablation
  • left ventricular
  • high throughput