Decoding movement frequencies and limbs based on steady-state movement-related rhythms from noninvasive EEG.

Our results verified the EEG representation of SSMRR and proved that the movement frequency and limb could be effectively decoded based on spatial-spectral features extracted from SSMRR. We suggest that SSMRR can serve as a complement to SMR to expand the range of decodable movement types and the approaches of limb decoding.&#xD.