Accurate deep neural network model to detect cardiac arrhythmia on more than 10, 000 individual subject ECG records.
Özal YildirimMuhammed TaloEdward J. CiaccioRu San TanU. Rajendra AcharyaPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- neural network model
- ecg signals
- heart rate variability
- cardiac arrhythmias
- neural network
- mit bih arrhythmia database
- artificial neural networks
- network architecture
- atrial fibrillation
- heart rate
- heart disease
- input variables
- rbf neural network
- beat classification
- multilayer perceptron
- using artificial neural networks
- bp neural network
- spectral analysis
- neural models
- electrical activity
- back propagation neural network
- dynamic characteristics
- growing neural gas
- detection method
- patient specific
- detection algorithm
- hopfield network
- knowledge discovery