A sleep stage classification method using deep learning by extracting the characteristics of frequency domain from a single EEG channel.
Min-Kyoung KangKeum-Shik HongPublished in: ASCC (2022)
Keyphrases
- frequency domain
- classification method
- deep learning
- sleep stage
- single channel
- spatial domain
- k nearest neighbor
- unsupervised learning
- sleep apnea
- knn
- text classification
- feature extraction
- support vector machine svm
- classification algorithm
- machine learning
- subband
- support vector machine
- denoising
- signal processing
- natural images
- higher order
- classification accuracy
- multiscale