A multimodal electroencephalogram visualization system can promote stroke patients′ motor imagery / 中华物理医学与康复杂志

ABSTRACT

Objective To explore the effect of a multimodal electroencephalogram ( EEG) data visualiza-tion system on the motor imagery ability of stroke survivors. Methods Twenty stroke patients were randomly di-vided into an experimental group and a control group, each of 10. Both groups were provided with brain-computer interface-based motor imagery ( MI) training. At the same time, the experimental group was monitored and guided using an online, multimodal EEG data visualization system developed in our department. The classification accuracy ( CA) and event-related desynchronization ( ERD) of the 2 groups′ motor imagery were compared before and after the treatment. Results Before the treatment, no significant differences in the average CA of MI were found be-tween the experiment group (50.92±2.08) and the control group (49.35±4.20)(P>0.05). After the treatment, however, the experimental group′s average CA had increased to (64.52±5.27), significantly higher than that of the control group (51.18±5.02). When the stroke patients imaged affected upper extremity movements, obvious ERD was observed in the α frequency around the bilateral central motor regions of both groups, especially in the experi-mental group, but without significant differences between the two groups. However, no significant changes were found in the ERD of theβwaves of the two groups( P>0.05) . Conclusion The proposed online multimodal elec-troencephalogram data visualization system can help stroke patients imagine movements actively. It is worth sprea-ding in clinical practice.