Now showing items 1-3 of 3
Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance
ObjectiveaaThe combination of repetitive transcranial magnetic stimulation (rTMS), a non-pharmacological form of therapy for treating major depressive disorder (MDD), and electroencephalogram (EEG) is a valuable tool for ...
Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification
(Psychiatry Investigation, 2014)
Objective:Many applications such as biomedical signals require selecting a subset of the input features in order to represent the whole set of features. A feature selection algorithm has recently been proposed as a new ...
Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach
(Clinical EEG and Neuroscience, 2014)
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major ...