Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease.
Alexandra-Maria TautanElias P. CasulaIlaria BorghiMichele MaiellaSonia BonnìMarilena MineiMartina AssognaBogdan IonescuGiacomo KochEmiliano SantarnecchiPublished in: CoRR (2022)
Keyphrases
- eeg signals
- preliminary study
- motor imagery
- eeg data
- healthy subjects
- sleep stage
- pattern recognition
- signal processing
- single trial
- brain computer interface
- decision trees
- feature extraction
- pattern classification
- training samples
- brain activity
- classification algorithm
- supervised learning
- classification accuracy
- support vector
- support vector machine svm
- text classification
- ovarian cancer
- classification scheme
- feature vectors
- feature space
- spectral features
- class labels
- physiological signals
- independent component analysis
- data sets
- benchmark datasets
- image classification
- feature selection
- machine learning