Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals.
Çigdem Gülüzar AltintopFatma LatifogluAynur Karayol AkinAdnan BayramMurat ÇiftçiPublished in: Int. J. Neural Syst. (2022)
Keyphrases
- eeg signals
- classification accuracy
- complexity measures
- feature vectors
- feature set
- feature extraction
- feature space
- classification models
- signal processing
- extracted features
- class labels
- nearest neighbor classifier
- eeg data
- svm classifier
- high dimensional
- image classification
- feature subset
- text classification
- machine learning algorithms
- artificial intelligence
- support vector
- training data
- decision trees
- feature selection