Exploring Bands Suppression in Artificial Frames for Motor-Imagery Brain Computer Interfaces

Abstract

In this work, we analyze the suppression of the power in mu and beta bands used in Motor-Imagery Brain Computer Interface systems (MI BCI) when using artificial frames. We compared the suppression effect between real and artificial frames. Experimental results in a single subject example show that artificial frames capture the same effect observed in real frames at a similar level. This interesting result supports the use of artificial frames during the BCI training process, which should reduce the number of real frames and hence reduce the calibration time in practical applications.