Channel selection and classification of electroencephalogram signals: An artificial neural network and genetic algorithm-based approach.
Jianhua YangHarsimrat SinghEvor L. HinesFriederike SchlagheckenDaciana IliescuMark S. LeesonNigel G. StocksPublished in: Artif. Intell. Medicine (2012)
Keyphrases
- eeg signals
- genetic algorithm
- machine learning
- eeg data
- pattern recognition
- classification accuracy
- text classification
- pattern classification
- multi objective
- multi channel
- feature extraction
- decision trees
- selection strategy
- signal processing
- image classification
- automatic classification
- classification algorithm
- classification method
- classification models
- frequency spectrum
- genetic programming
- classification scheme
- model selection
- feature vectors
- training set
- neural network
- spectral analysis
- support vector
- feature selection
- event related potentials