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Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices.

Marisol Martinez-AlanisErik Bojorges-ValdezNiels WesselClaudia Lerma
Published in: Sensors (2020)
Keyphrases
  • heart rate variability
  • heart rate
  • spectral analysis
  • prediction accuracy
  • atrial fibrillation
  • neural network
  • machine learning
  • dimensionality reduction
  • extracted features