Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features.
Yuyang YouXuyang ZhongGuozheng LiuZhihong YangPublished in: Artif. Intell. Medicine (2022)
Keyphrases
- transform domain
- sleep stage
- neural network
- classification accuracy
- spatial domain
- feature vectors
- frequency domain
- feature set
- feature extraction
- feature space
- feature selection
- support vector
- svm classifier
- machine learning
- spread spectrum
- image classification
- image features
- support vector machine
- hilbert transform
- discrete cosine
- sleep apnea
- feature detection
- support vector machine svm
- fourier transform
- signal processing
- filter bank
- transform coefficients
- wyner ziv video coding
- motion estimation
- video sequences
- hadamard transform
- similarity measure
- three dimensional
- stereo image coding