ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal.
Hnin Thiri ChawThossaporn KamolphiwongSinchai KamolphiwongKrongthong TawaranurakRattachai WongtanawijitPublished in: Appl. Comput. Intell. Soft Comput. (2023)
Keyphrases
- neural network model
- sleep apnea
- network architecture
- neural network
- deep learning
- artificial neural networks
- obstructive sleep apnea
- signal processing
- input variables
- sleep stage
- neural models
- multilayer perceptron
- rbf neural network
- unsupervised feature learning
- deep belief networks
- physiological parameters
- back propagation neural network
- using artificial neural networks
- dynamic characteristics
- wavelet analysis
- automatic analysis
- bp neural network
- non stationary
- multi layer perceptron
- unsupervised learning
- image processing