Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting.
Ahnaf Rashik HassanMohammed Imamul Hassan BhuiyanPublished in: Comput. Methods Programs Biomed. (2017)
Keyphrases
- eeg signals
- empirical mode decomposition
- ensemble methods
- ensemble learning
- randomized trees
- stock market prediction
- brain computer interface
- signal processing
- base classifiers
- obstructive sleep apnea
- motor imagery
- feature selection
- signal analysis
- random forest
- neural network
- brain signals
- weak classifiers
- brain activity
- eeg data
- intrinsic mode functions
- non stationary
- co occurrence
- training set
- multiscale
- training data
- linear discriminant classifier