Abstract
Electroencephalography (EEG) is a tool used to investigate brain activity and has played a significant role in the development of applications such as brain-computer interfaces (BCIs), diagnostic methods, and assistive technologies. However, EEG signal analysis presents challenges due to its high dimensionality, inter- and intra-individual variability, and strong presence of noise. Thus, …