EEG Signals Feature Extraction and Artificial Neural Networks Classification for The Diagnosis of Schizophrenia.
Lei ZhangPublished in: IEEE ICCI*CC (2020)
Keyphrases
- eeg signals
- feature extraction
- artificial neural networks
- extracted features
- signal processing
- pattern classification
- obstructive sleep apnea
- feature space
- classification accuracy
- brain computer interface
- pattern recognition
- feature vectors
- kernel density estimators
- motor imagery
- feature selection
- eeg data
- healthy subjects
- feature extraction and classification
- support vector machine svm
- feature set
- texture analysis
- preprocessing
- image processing
- neural network
- image classification
- multi layer perceptron
- electrical activity
- machine learning
- positive and negative
- texture features
- brain activity
- image analysis
- training set
- support vector
- frequency analysis