This module is meant to be used as a tool for EEG signal analysis based on graph signal analysis methods. The development of this toolbox takes place in GitHub. EEGraSP package uses other libraries ...

The PyGSP2 is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists ...

The key role of emotions in human life is undeniable. The question of whether there exists a brain pattern associated with a specific emotion is the theme of many affective neuroscience studies. In ...

Epileptic Seizure is a chronic nervous system disorder which is analyzed using Electroencephalogram (EEG) signals. This paper proposes a Graph Signal Processing technique called Graph Discrete Fourier ...

Convolutional Neural Networks (CNNs), in particular, have demonstrated promising results in various signal processing tasks (Jalagam and Mittal, 2024). However, EEG signals possess unique ...

Electroencephalogram data are pre-processed before being fed into the C-GCN model. Zero-reference processing is performed by the reference electrode normalization technique (REST) (Xu et al., 2014) to ...