EEG based BCI: measurement and quality control

EEG based BCI: measurement and quality control

Lee, Wesmond (TU Delft Electrical Engineering, Mathematics and Computer Science)
Los, Thibault (TU Delft Electrical Engineering, Mathematics and Computer Science)

Hunyadi, Borbala (mentor)
Abelmann, L. (graduation committee)
Arroyo Cardoso, F. (graduation committee)

Delft University of Technology

Electrical Engineering

2023-06-29

Purpose
The main purpose of this report is to find out whether the OpenBCI "Ultracortex Mark IV" Electroencephalogram (EEG) headset is capable of differentiating EEG-signals of motor execution from neutral state with recorded data and to find out whether it can differ motor executions between left and right hand. Next to that, it is to be determined whether the OpenBCI headset was the optimal one for this purpose.

Method
First, the specifications of different headsets were compared. Afterwards, a montage of the electrodes was designed to detect motor execution and motor imagery, mainly centered around the locations C3, Cz and C4, on the top of the scalp. The software "Openvibe" was used to extract data from the headset during experiments and to record it in a csv file. A subject was asked to follow a video with a sound cue followed by a visual cue instructing to move either its left hand or right hand.


Result
Merging the left and right hand trial data together, the result is that the headset shows in the alpha band (7-12 Hz) mostly a decrease (ERD) in magnitude around the visual cue, sometimes followed by a bigger increase in magnitude (ERS). Looking at the extremes after the cue, it is seen that mostly the difference in magnitude is around a factor 1.5 compared to the average magnitude of before the visual cue. Splitting the trial data between left and right hand, similar results can be seen, but one hand produces slightly more ERD or ERS than the other hand depending on the position of the electrode on the left or right hemisphere of the brain.

Conclusion
The OpenBCI headset can in fact detect a difference between movement of the hands and the neutral state. Differentiating between the movements of left and right hands seems possible from the results, but the difference in the signal of left and right hand is minimal. It is recommended to repeat the experiment with more trials and different subjects to get a more solid conclusion.

EEG
BCI
OpenVIbe
OpenBCI

http://resolver.tudelft.nl/uuid:3626cd81-e964-4053-8eb2-aaf6209074f8

Student theses

bachelor thesis

© 2023 Wesmond Lee, Thibault Los