Automatic detection of sleep-disordered breathing events using recurrent neural networks from an electrocardiogram signal.
Erdenebayar UrtnasanJonguk ParkKyoung-Joung LeePublished in: Neural Comput. Appl. (2020)
Keyphrases
- automatic detection
- recurrent neural networks
- heart rate
- ecg signals
- sleep apnea
- heart rate variability
- feed forward
- recurrent networks
- echo state networks
- neural network
- automatically detecting
- event detection
- artificial neural networks
- signal processing
- biomedical signals
- feedforward neural networks
- automatic classification
- cascade correlation
- neural model
- nonlinear dynamic systems
- reservoir computing
- chest ct
- sleep stage
- apnea hypopnea