Speaker: Julia Reina Boria.
Abstract: In this talk, I will present the evaluation of P300-based brain-computer interfaces as an assistive communication technology for people with amyotrophic lateral sclerosis. The work analyzes EEG signals from a P300 dataset and compares different visual stimulation paradigms and feature extraction methods. In particular, approaches such as 64win, xDAWN and EEGNet are considered in order to study how each configuration affects the detection of the P300 response and the final classification performance. The aim is to identify the most suitable alternatives for developing reliable communication systems in clinical contexts.