Classification of EEG-P300 signals using phase locking value and pattern recognition classifiers.
Rupesh Kumar ChikaraLi-Wei KoPublished in: TAAI (2015)
Keyphrases
- pattern recognition
- eeg signals
- signal processing
- classifier combination
- support vector
- classification systems
- decision trees
- pattern classification
- eeg data
- classification models
- power quality disturbance
- class labels
- machine learning
- classification process
- feature selection
- supervised classification
- classification algorithm
- accurate classification
- classification rate
- computer vision
- training phase
- pattern recognition problems
- svm classifier
- multiple classifier systems
- training set
- classification method
- improves the classification accuracy
- neural network
- feature set
- feature extraction
- probabilistic classifiers
- motor imagery
- optimum path forest
- multi category
- multiple classifiers
- classification decisions
- sleep stage
- support vector machine svm
- image processing
- classification accuracy
- training samples
- decision boundary
- machine learning algorithms
- machine learning methods
- training examples
- accurate classifiers
- support vector machine
- learning phase
- concurrency control
- weak classifiers
- k nearest neighbour
- image classification
- supervised learning
- feature space
- training data
- binary classifiers