Algorithm design in Brain Computer Interfacing (BCI): increasing data
throughput

Christopher James (WMG)

 
BCI is a technique that allows communication with the outside world for
those with little to no control of their muscles. This is done through
deciphering the electrical activity of the
Brain as measured through the electroencephalogram (EEG). Various BCI
paradigms exist to allow typing on a virtual keyboard using brain
activity alone.

This project is to address the data-throughput problem in most BCI
paradigms, which at the moment is rather low - resulting in slow and
laborious efforts in communication. New algorithms for data processing
will be explored along with possible new BCI paradigms, designed to help
increase data-throughput such that BCI becomes more useable on a
practical level.

A strong basis in engineering maths is recommended and an ability to
programme in Matlab desirable. Pre-recorded data already is available
however this project presents the opportunity to collect new EEG
data-sets within the Neural Engineering lab at the IDH.