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Hourly variability in outflow tract ectopy as a predictor of its site of origin.

Michael C WaightAnthony C LiChristos KontogiannisBenedict M WilesGareth R ThomasMark M GallagherElijah R BehrManav SohalAlejandro J RestrepoMagdi M Saba
Published in: Journal of cardiovascular electrophysiology (2021)
VE variability and the presence of a single hour where VE < 50 can be used to accurately predict SOO in patients with OTVA. Accuracy of these parameters compares favorably to existing ECG algorithms.
Keyphrases
  • machine learning
  • blood pressure
  • heart rate variability
  • heart rate
  • deep learning