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Analysis method for ERD in mu-rhythm detection in motor imagery brain-computer interface

Motor imagery brain-computer interfaces (MIBCI) use hand or foot MI to control computers. However, MIBCI control accuracy is low. Previously, we determined that using max power in the mu band method, i.e., the peak trace method (PTM), improves event-related desynchronization (ERD) detection accuracy. Control accuracy may be improved by improving ERD detection accuracy in an MIBCI. In this study, we compare the PTM to the band power method to determine the most effective method for ERD detection during MI tasks. Overall, experimental results indicate that we could not detect ERD more accurately using the PTM. However, the PTM may be effective depending on the mu rhythm occurrence pattern.