After fiddling endlessly with OpenViBE and EEGlab throughout the last two weeks, we were able to analyze some of the waveforms and discovered that the GDF file writer we were utilizing did strange things with the signal display of brain waves. We also were getting tired of having to go through so many hoops simply to filter the data, so we found code in python that could filter and graph waveforms so that we could automate some of the processes without having to use OpenViBE and EEGlab. I also quickly created a python program that could check to see if a P300 or N400 exists so that this process could be automated as well. We merged these two programs and then began to test. So far we have not reached any conclusive results, but we are detecting P300s.
Also this week the dean of computer science at UNT came by to talk to all of us about graduate school. We were all able to ask questions about what preparations we would need to take if graduate school was something we were interested in, and to learn some of their own personal tips and words of wisdom. One of the professors here for computational epidemiology spoke as well and I was very intrigued by some of the things he gets to research. I haven’t quite decided if I want to go straight into graduate school, but they certainly make a good case for it!
So far I’m really enjoying my research experience at UNT, even if the BCI research can be tedious and occasionally frustrating, I have grown to really enjoy the people I work with and hope that we will stay in touch in the future.