Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector Machine.
Shota YamaneIsao NambuYasuhiro WadaPublished in: EMBC (2014)
Keyphrases
- eeg signals
- support vector machine
- brain computer interface
- signal processing
- motor imagery
- brain activity
- support vector machine svm
- svm classifier
- healthy subjects
- electrical activity
- support vector
- eeg data
- kernel function
- multi class
- brain signals
- machine learning
- event related potentials
- kernel density estimators
- regression method
- training data
- empirical mode decomposition
- support vector regression
- k nearest neighbor
- classification accuracy
- data sets