A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing.
Cosimo IeracitanoNadia MammoneAlessia BramantiSilvia MarinoAmir HussainFrancesco Carlo MorabitoPublished in: IJCNN (2019)
Keyphrases
- signal processing
- eeg signals
- machine learning
- pattern recognition
- eeg data
- brain computer interface
- signal analysis
- image processing
- motor imagery
- computer vision
- fourier transform
- independent component analysis
- support vector machine
- machine learning methods
- supervised machine learning
- model selection
- brain activity
- supervised learning
- feature vectors
- support vector
- feature extraction
- feature selection
- text mining
- classification accuracy
- spectral features
- classification algorithm
- filter bank
- decision trees
- machine learning approaches
- data mining
- brain signals
- electrical activity
- healthy subjects
- class labels
- information extraction
- supervised classification
- pattern classification
- image classification
- feature space
- learning algorithm