EEG signal classification for epilepsy diagnosis via optimum path forest  A systematic assessment
Thorough assessment of the OPF classifier when coping with the task of epilepsy diagnosis through EEG signal classification. Analysis of the impact of the data preprocessing methods as well as the distance measure used. Comparison of the OPF classifier with SVM-RBF, ANN-MLP, and Bayesian classifiers. The OPF classifier has outperformed the other models in terms of efficiency and effectiveness criteria.
eeg signal classification optimum path forest bayesian support vector machines multilayer perceptrons wavelets