Brain-Computer Interfaces (BCI), cognitive research, and medical diagnosis all make extensive use of electroencephalography (EEG) to analyze brain activity. However, issues with EEG signal processing ...

The subject-specific feature extraction approach was employed. To enhance user-friendliness and facilitate easy interaction, this repo contains interactive MATLAB-based Graphical User Interfaces (GUIs ...

A typical EEG signal analysis pipeline is as follows: (1) data acquisition, (2) data pre-processing, (3) feature extraction, (4) feature selection, (5) model training and classification, and (6) ...

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 ...

Specifically, the shared subspace is extracted from the testing dataset and training dataset using non-negative matrix factorization firstly and then the shared subspace and the original feature space ...