Automatic sleep stages classification based on iterative filtering of electroencephalogram signals.
Rajeev SharmaRam Bilas PachoriAbhay UpadhyayPublished in: Neural Comput. Appl. (2017)
Keyphrases
- eeg signals
- sleep stage
- brain computer interface
- brain activity
- signal processing
- classification accuracy
- healthy subjects
- fully automatic
- feature selection
- eeg data
- support vector machine svm
- pattern recognition
- image classification
- classification rules
- feature extraction
- classification systems
- feature vectors
- machine learning
- training samples
- brain signals
- statistical classification
- high dimensional
- filtering algorithm
- denoising
- classification scheme
- extracted features
- pattern classification
- independent component analysis
- text classification