Paper Info
Title
The effects of cognitive parallel task with varying memory load on motor imagery BCI
Abstract
As one of the most practical EEG-based paradigms, motor imagery brain computer interface(MI-BCI) is not only used to control external devices, but also to help patients with hemiparesis to reconstruct impaired motor function. However, due to event-related (de)synchronization(ERD/ERS) during motor imagery are not stable enough, the performance of classification of MI-BCI is relatively poor. It has become a focus of study that how to achieve the feature enhancement of motor imagery. Since motor imagery is a cognitive processing that engages parts of the motor resources, we try to improve suppression and enhancement of amplitude (ERD/ERS) in a novel way by changing cognitive state. In this study, we designed a cognitive parallel n-back task with varying memory load to carry out with motor imagery task synchronously. The result of 13 subjects who volunteered in this experiment was shown that increased memory load could activate much stronger power decrease of ERD pattern at alpha rhythms in both sides of sensorimotor cortex, especially in contralateral area. Furthermore, we calculated the accuracy of classification between motor imaginary and motor idle status in different conditions by two classifiers, respectively. Through the paired t-test, we obtained that the accuracy of high memory load condition was significantly higher than the low load condition(SVM: (76.3±13.3)% and (83.4±10.5)%, p<;0.01; LDA: (78.0±13.5)% and (84.6±12.4)%, p<;0.05). A conclusion can be drawn that memory load have a positive impact on ERD pattern, even it is not caused by motor imagery itself. Besides, it may imply a new approach to modulate brain oscillations related to motor imagery by changing cognitive state.
Year
DOI
Venue
2017
10.1109/ICAwST.2017.8256494
2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)
Keywords
Field
DocType
parallel task,memory load,cognitive state,motor imagery BCI,event-related desynchronization(ERD)
Hemiparesis,Synchronization,Computer science,High memory,Brain–computer interface,Speech recognition,Statistical classification,Cognition,Electroencephalography,Motor imagery
Conference
ISSN
ISBN
Citations 
2325-5986
978-1-5386-2966-6
0
PageRank 
References 
Authors
0.34
2
9
Name
Order
Citations
PageRank
Bin Gu100.34
Long Chen291.19
yufeng ke317.78
Shuang Liu43622.95
Jiabei Tang513.42
Zhongpeng Wang604.06
Yijie Zhou700.34
Haiqing Yu800.34
Dong Ming910551.47