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A Novel Machine Learning Approach to Classify and Detect Atrial Fibrillation Using Optimized Implantable Electrocardiogram Sensor.

Seyed Jamaleddin Mostafavi YazdiHee-Joon ParkChang Sik SonJong-Ha Lee
Published in: IEEE Access (2021)
Keyphrases
  • atrial fibrillation
  • machine learning
  • heart rate variability
  • ecg signals
  • heart rate
  • spectral analysis
  • computer vision
  • image processing
  • machine learning algorithms