README.md

In LauraMasiero/RiemannR: RiemannR - EEG-based BCI analysis with Riemannian geometry

RiemannR

EEG-based BCI analysis with Riemannian geometry.

This R package contains useful functions to analyse data from eeg-based brain-computer interfaces. In particular, it has been developed for the analysis of "Brain Invaders" data, which can be find here: https://zenodo.org/record/1494240#.XWjtji9aaRv.

There are also simple Python scripts to work with the dataset at https://github.com/plcrodrigues/BrainInvaders-2013a-Dataset.

This is the first version of the package and it is under development.

References

Congedo M, Goyat M, Tarrin N, Ionescu G, Rivet B,Varnet devtoolsL, Rivet B, Phlypo R, Jrad N, Acquadro M, Jutten C (2011) “Brain Invaders”: a prototype of an open-source P300-based video game working with the OpenViBE platform. Proc. IBCI Conf., Graz, Austria, 280-283. (https://hal.archives-ouvertes.fr/hal-00641412/document)

Barachant A, Bonnet S, Congedo M, Jutten C (2013) Classification of covariance matrices using a Riemannian-based kernel for BCI applications. Neurocomputing 112, 172-178. (https://hal.archives-ouvertes.fr/hal-00820475/document)

Barachant A, Bonnet S, Congedo M, Jutten C (2012) Multi-Class Brain Computer Interface Classification by Riemannian Geometry. IEEE Transactions on Biomedical Engineering 59(4), 920-928. (https://hal.archives-ouvertes.fr/hal-00681328/document)

Barachant A, Congedo M (2014) A Plug & Play P300 BCI using Information Geometry, arXiv:1409.0107. (https://arxiv.org/pdf/1409.0107.pdf)

Installation

The package installation requires the "devtools" package.

Example:

library(devtools)

install_github("LauraMasiero/RiemannR")

LauraMasiero/RiemannR documentation built on Sept. 29, 2020, 9:51 p.m.