Machine Learning-Based Brain Disease Classification Using EEG and MEG Signals.
A. AhilanJ. Angel SajaniA. Jasmine Gnana MalarB. Muthu KumarPublished in: FICTA (1) (2023)
Keyphrases
- eeg signals
- eeg data
- brain activity
- machine learning
- brain signals
- independent component analysis
- event related
- signal processing
- brain computer interface
- single trial
- decision trees
- text classification
- pattern recognition
- electrical activity
- classification accuracy
- machine learning methods
- motor imagery
- sleep stage
- feature selection
- blind source separation
- machine learning algorithms
- epileptic seizures
- event related potentials
- supervised machine learning
- active learning
- pattern classification
- disease diagnosis
- high degree of accuracy
- supervised learning
- functional magnetic resonance imaging
- supervised classification
- feature space
- data mining
- cognitive states
- healthy subjects
- text mining
- feature vectors