Difference between revisions of "Setup SSVEP BCI example"

Revision as of 13:21, 27 October 2016

Abstract

The SSVEP-BCI plugin beholds a Brain Computer Interface (BCI) using Steady-State-Visual-Evoked-Potentials (SSVEP). It was developed under the Master Thesis "Development of a BCI based on real-time neural source localization", in which the so called Bremen-BCI was used as a role model in order to setup classification pipeline and visualization. This tutorial describes both the setup of the processing pipeline and usage of the SSVEP-BCI plugin.

Editing the Processing Pipeline

In the following figure an edited setup of the SSVEP-BCI processing pipeline is shown in the MNE-Scan GUI environment. For this example the NoiseReduction plugin was interposed as a preprocessing step in order to increase the Signal-to-Noise ratio. However, the SSVEP-BCI plugin can also be processed with "raw" (unfiltered) data by connecting it directly with the acquisition plugin.

SSVEP BCI processing pipeline in the MNE-Scan environment

Adjusting the SSVEP-BCI

Like already mentioned, in the thesis "Development of a BCI based on real-time neural source localization" different scientific approaches are combined in order to realize this BCI.