A residual-dense-based convolutional neural network architecture for recognition of cardiac health based on ecg signals

HIGHLIGHTS

• who: Alaa E. S. Ahmed and colleagues from the College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU) have published the paper: A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of 15/08/2023
• what: The authors provide a deep CNN-based feature extraction method and use the deep learning algorithm to categorize the ECG data into the various types of heartbeat. The experiment shows that 99.06% of the heartbeat detection . . .
  

   

  

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