Automatic recognition of sleep spindles in EEG via radial basis support vector machine based on a modified feature selection algorithm.
Nurettin AcirCüneyt GüzelisPublished in: Neural Comput. Appl. (2005)
Keyphrases
- automatic recognition
- feature selection algorithms
- radial basis
- healthy subjects
- eeg signals
- feature selection
- probabilistic neural network
- extracted features
- feature set
- brain computer interface
- neural network
- data sets
- support vector machine
- back propagation
- radial basis function
- signal processing
- selection algorithm
- true positive rate
- multilayer perceptron
- diffusion tensor imaging
- feature subset
- brain activity
- classification accuracy
- learning models
- self organizing maps
- multi objective
- image processing
- genetic algorithm