EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration.

Unconscious brain responses elicited over the sensorimotor areas may be avoided or greatly reduced by applying our approach in MI-based brain-computer interfaces (BCIs). Therefore, BCI's outputs more correlated to the user's intention can be obtained.