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A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram.

Febryan SetiawanChe-Wei Lin
Published in: Life (Basel, Switzerland) (2022)
A novel and robust SA detection algorithm based on the ECG decomposed signal using EMD and deep CNN was successfully developed in this study.
Keyphrases
  • deep learning
  • sleep apnea
  • convolutional neural network
  • machine learning
  • artificial intelligence
  • obstructive sleep apnea
  • positive airway pressure
  • heart rate variability
  • neural network
  • sensitive detection