Prediction of Motor Imagery Tasks from Multi-Channel EEG Data for Brain-Computer Interface Applications
M. O. Miah, M. M. Rahman, R. Muhammod, D. M. Farid
This paper improves MI-EEG classification accuracy by 5-15% using a clustering-based ensemble technique and develops a brain game for BCI applications.
bioRxiv · Apr 8, 2020 · PreprintBioengineering