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Enhancing atrial fibrillation classification from single-lead electrocardiogram signals using attention-based networks and generative adversarial networks with density-based clustering.

Godwin MsigwaEster NtambalaJaeseok Yun
Published in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
  • heart rate variability
  • ecg signals
  • classification accuracy
  • density based clustering
  • feature selection
  • machine learning
  • image segmentation
  • unsupervised learning
  • spectral analysis