A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals.
Alaa E. S. AhmedQaisar AbbasYassine DaadaaImran QureshiGaneshkumar PerumalMostafa E. A. IbrahimPublished in: Sensors (2023)
Keyphrases
- ecg signals
- recognition rate
- cardiac arrhythmias
- recognition accuracy
- heart rate
- object recognition
- electrical activity
- mit bih arrhythmia database
- health care
- feature extraction
- activity recognition
- power line
- convolutional neural networks
- recognition algorithm
- action recognition
- unsupervised learning
- deep learning
- cardiovascular disease
- biomedical signals
- lyapunov exponents