Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal classification by Dr. Rajdeep Chatterjee and Ms. Ankita Chatterjee
Dataset given: Adaptive Auto-regressive (AAR) of order p=6. There are two electrodes C3 and C4. 6 AR parameters x 2 electrod = 12 featues + 1 class labels (1: Left hand and 2: Right hand motor-imagery movements). For more refer BCI Competition II data set III.
Citing
@article{chatterjee2020orthogonal,
title={Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal classification},
author={Chatterjee, Rajdeep and Chatterjee, Ankita},
journal={International Journal of Computer Applications in Technology},
volume={64},
number={4},
pages={403--414},
year={2020},
publisher={Inderscience Publishers (IEL)}
}