32
https://pubmed.ncbi.nlm.nih.gov/38113535
This scientific abstract presents a new perspective on evaluating Brain-Computer Interfaces (BCI) through a modified MOABB framework, enabling the comparison of different algorithms in a pseudo-online setting with overlapping sliding windows, and demonstrating the performance difference between offline and pseudo-online modes on Motor Imagery and Steady State Visually Evoked Potential datasets.