Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity.
Vladimir A. MaksimenkoSemen A. KurkinElena N. PitsikVyacheslav Yu. MusatovAnastasia E. RunnovaTatyana Yu. EfremovaAlexander E. HramovAlexander N. PisarchikPublished in: Complex. (2018)
Keyphrases
- classification accuracy
- artificial neural networks
- feature selection
- terms of classification accuracy
- signal processing
- feature space
- training set
- support vector
- feature set
- eeg signals
- training data
- high classification accuracy
- pattern recognition
- accurate classification
- feature vectors
- feature subset
- classification method
- improvement in classification accuracy
- classification rate
- classification algorithm
- naive bayes
- image classification
- decision trees
- control system
- feature extraction
- motor imagery
- brain signals
- achieve high classification accuracy
- improve the classification accuracy
- sleep stage
- neural network
- svm classification
- heart rate
- selected features
- data reduction
- pattern classification
- svm classifier
- frequency domain
- support vector machine svm
- text classification
- support vector machine
- image processing