EEG-driven RNN Classification for Prognosis of Neurodegeneration in At-Risk Patients.
Giulio RuffiniDavid IbáñezMarta CastellanoStephen DunneAureli Soria-FrischPublished in: ICANN (1) (2016)
Keyphrases
- eeg signals
- lung disease
- classification accuracy
- decision trees
- machine learning methods
- high risk
- pattern classification
- outcome prediction
- motor imagery
- correct classification
- machine learning
- pattern recognition
- classification method
- machine learning algorithms
- brain computer interface
- feature vectors
- signal processing
- eeg data
- support vector machine
- feature space
- single trial
- spinal cord injury
- epileptic seizures
- support vector
- support vector machine svm