EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment.
Thiago M. NunesAndré L. V. CoelhoClodoaldo Ap. M. LimaJoão P. PapaVictor Hugo C. de AlbuquerquePublished in: Neurocomputing (2014)
Keyphrases
- eeg signals
- optimum path forest
- obstructive sleep apnea
- signal processing
- supervised pattern recognition
- decision boundary
- healthy subjects
- extracted features
- eeg data
- feature extraction
- computer vision
- brain computer interface
- kernel density estimators
- classification accuracy
- feature vectors
- pattern recognition
- event related potentials
- machine learning