Current Projects

 

 

The CSU Brain-Computer Interfaces Laboratory is currently working on a number of projects related to BCI and EEG analysis.  On this page (and on the menu to the left) you can browse information related to some of our most recent research projects.  Be sure to also check out our software pages!

Walt Besio's Tripolar EEG Electrodes

• Comparison of P300 classification using conventional and Besio's tripolar electrodes, illustrated on this jupyter notebook.

Classification

• Mental Task Classification using Time-Delay Embedding and Sequential Evidence Accumulation
• Mental Task Classification by Forecasting with Recurrent Neural Networks
• P300 Classification using Linear Discriminant Analysis with Shrinkage Regularization
• EEG Classification using Principal Angles
• Classification of Error Related Negativity (ERN)

Artifact Removal and Filtering

• Removal of Artifacts in EEG using Maximum Signal Fraction

User Interfaces

• Control of a Mobile Robot using a Serial P300 Speller
• BCIPlayer: A P300 Multimedia Player Module for CEBL3

Evaluation in Real-World Environments

• Comparison of EEG Systems for use with BCI in Real-World Environments by users with Motor Impairments
• Evaluation of g.tec's g.SAHARAsys Dry Electrode System

Visualization and Analysis

• Various methods for visualizing EEG signals
• Representing Raw EEG Signals as Audio Signals (Sonification)