ePoster · Deep Learning
Spatio-temporal Graph Neural Networks for Motor Imagery EEG Classification
Ahmed Alramly · Neuromatch 5
Wed, Sep 28, 2022
EEG has several applications in neuroscience, neural engineering, and diagnosis of neurological disorders. It records the electrical activity of the brain tissues resulting from the interaction of distinct neuronal populations. Various methods have been developed for the automatic classification of EEG signals. These algorithms operate by acquiring unique and non-redundant features from EEG data. However, a large portion of the proposed algorithms usually use temporal features while ignoring the dense spatial network structure generating the EEG. We propose a classification pipeline that utili