EEG Patterns and Classification of Different Sequential Finger Movements*

Abstract

In recent years, motor imagery-based BCIs (MIBCIs) have shown important scientific significance and application value in the functional repair, compensation or replacement of patients with movement disorders. However, the small command set limits its development. In this paper, we designed a paradigm of sequential movements with left and right index fingers. Seven healthy subjects participated in the experiment. The analysis of EEG patterns showed the MRCP and ERD induced by the sequential finger movements involving two hands were more obvious than the one-handed tasks. The average classification accuracy of the four classes was 75.83 %. This research might provide a new idea and theoretical basis for effectively expanding the command set of movement intention-related BCIs.