Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces.
Jan SosulskiMichael TangermannPublished in: EMBC (2019)
Keyphrases
- data sets
- brain computer interface
- eeg signals
- benchmark data sets
- pattern recognition
- training set
- decision trees
- eeg data
- classification accuracy
- machine learning
- spinal cord injury
- evoked potentials
- pattern classification
- support vector
- image classification
- decision rules
- feature vectors
- motor imagery
- text classification
- expectation maximization
- high dimensional data
- signal processing
- support vector machine
- multimodal interaction
- image processing
- feature selection
- data sets from uci
- receiver operating characteristic curves
- healthy subjects
- training data
- optimal parameters