Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification

ConclusionThe proposed AFFB-CAN method improves the performance of MI classification. In addition, our study confirms previous findings that motor imagery is mainly associated withµ andβ rhythms. Moreover, we also find thatγ rhythms also play an important role in MI classification.
Source: Health Information Science and Systems - Category: Information Technology Source Type: research