  This short technical report describes the approach submitted to the Clinical
BCI Challenge-WCCI2020. This submission aims to classify motor imagery task
from EEG signals and relies on Riemannian Geometry, with a twist. Instead of
using the classical covariance matrices, we also rely on measures of functional
connectivity. Our approach ranked 1st on the task 1 of the competition.

Signal Processing;Machine Learning