Evaluating sleep-stage classification: how age and early-late sleep affects classification performance.
Eugenia MorisIgnacio LarrabidePublished in: CoRR (2023)
Keyphrases
- sleep stage
- pattern recognition
- classification systems
- support vector
- classification accuracy
- support vector machine svm
- feature space
- classification method
- image classification
- sleep apnea
- classification algorithm
- feature vectors
- supervised classification
- automatic classification
- preprocessing
- multi class
- classification process
- eeg signals
- training set
- object classification
- classification scheme
- benchmark data sets
- decision rules
- cross validation
- class labels
- image features
- unsupervised learning