Machine learning based potentiating impacts of 12-lead ecg for classifying paroxysmal versus non-paroxysmal atrial fibrillation

HIGHLIGHTS

• who: Sungsoo Kim from the Department of Cardiology, College of Medicine, Ewha Womans, the trained model was applied to an independent data set of , patients enrolled from Ewha University Hospital have published the research: Machine learning based potentiating impacts of 12-lead ECG for classifying paroxysmal versus non-paroxysmal atrial fibrillation, in the Journal: (JOURNAL)
• what: The authors propose the Spectral Power Ratio (SPR), the ratio of the power distribution in a lower frequency range versus a higher frequency range, calculated as u221e f p(f )df SPRi=f 0 p(f )df where fi . . .
  

   

  

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