The objective is to design a proof-of-concept system with BCI-integrated wheelchair technology for quadriplegic persons that will measure cognitive fatigue and compensate by refining BCI parameters to reduce classification errors of standard wheelchair movement commands.
This code repo will host files for SSVEP stimulation, EEG signal acquisiton, signal filtering, and signal classification.
The code is built off explorepy opensource demo for SSVEP experiments:
https://github.com/Mentalab-hub/explorepy/tree/master/examples/ssvep_demo
- Follow the explorepy installation guide: https://explorepy.readthedocs.io/en/latest/installation.html
- Clone the repo
- Run
python run_gui.py
Note that it is best to install all the necessary packages in a virtual environment, personally I used Anaconda!
| Label on Electrode | Actual Position | Channel # |
|---|---|---|
| FP1 | FP1 | 1 |
| FP2 | FP2 | 2 |
| T3 | PO3 | 3 |
| T4 | PO4 | 4 |
| O1 | O1 | 5 |
| O2 | O2 | 6 |
| FPz | Oz | 7 |
| Pz | POz | 8 |