Identification of Children with ADHD from EEG Signals Based on Entropy Measures and Support Vector Machine.
Md. ManiruzzamanMd. Al Mehedi HasanTaro SuzukiJungpil ShinPublished in: EUVIP (2023)
Keyphrases
- eeg signals
- support vector machine
- shannon entropy
- brain computer interface
- information theoretic
- electrical activity
- signal processing
- healthy subjects
- training data
- mutual information
- motor imagery
- feature vectors
- svm classifier
- information theory
- kernel density estimators
- feature selection
- young children
- image classification
- multi class
- kernel function
- support vector machine svm
- k nearest neighbor
- eeg data
- knn
- feature space
- support vector
- brain signals
- event related potentials
- learning algorithm