Hybrid Neural Networks for Electroencephalography Motor Imaging Classification

The classification of Electroencephalogram (EEG) Motor-Imaging (MI) signals is becoming a hot topic of research in the field of brain-computer interface (BCI). But this study has many challenges, such as The properties of the electroencephalogram (EEG) are often noisy when collected. The EEG signal is complex with many features in space and time domains, so the electricity EEG is more difficult to...