An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms.
Musa PekerPublished in: Neurocomputing (2016)
Keyphrases
- machine learning algorithms
- complex valued
- eeg signals
- obstructive sleep apnea
- benchmark data sets
- real valued
- sleep stage
- sleep apnea
- learning algorithm
- machine learning
- machine learning methods
- recurrent neural networks
- signal processing
- decision trees
- brain computer interface
- learning tasks
- linear equations
- multi valued
- activation function
- machine learning models
- transfer learning
- pattern recognition
- fuzzy logic
- event related potentials
- data mining
- boolean functions
- image processing
- neural network
- back propagation