A novel solution of enhanced loss function using deep learning in sleep stage classification: predict and diagnose patients with sleep disorders.
Ereena RajbhandariAbeer AlsadoonP. W. C. PrasadIndra SeherTran Quoc Vinh NguyenDuong Thu Hang PhamPublished in: Multim. Tools Appl. (2021)
Keyphrases
- sleep stage
- loss function
- sleep apnea
- deep learning
- physiological parameters
- pairwise
- solution path
- support vector
- unsupervised learning
- image classification
- unsupervised feature learning
- pattern recognition
- risk minimization
- apnea hypopnea
- data mining
- reproducing kernel hilbert space
- object recognition
- multi class
- similarity measure
- machine learning