Feasibility of detecting ADHD patients' attention levels by classifying their EEG signals.
Alaa Eddin AlchalabiMohamed ElsharnoubyShervin ShirmohammadiAmer Nour EddinPublished in: MeMeA (2017)
Keyphrases
- eeg signals
- linear discriminant classifier
- obstructive sleep apnea
- brain computer interface
- signal processing
- motor imagery
- epileptic seizures
- electrical activity
- brain activity
- visual field
- healthy subjects
- data sets
- data analysis
- machine learning
- kernel density estimators
- feature selection
- visual attention
- feature space
- clinical trials
- patient data
- decision trees
- medical data
- texture features
- single trial
- information processing
- image features
- pattern recognition