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A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge distillation.

Majid SepahvandFardin Abdali Mohammadi
Published in: Inf. Sci. (2022)
Keyphrases
  • mit bih arrhythmia database
  • ecg signals
  • classification accuracy
  • beat classification
  • learning algorithm
  • feature extraction
  • training set
  • correlation coefficient
  • heart rate
  • heart rate variability