Name
Title | ||
|---|---|---|
Improvements in event-related desynchronization and classification performance of motor imagery using instructive dynamic guidance and complex tasks. |
Abstract | ||
|---|---|---|
•Dynamic guidance and complex motor tasks to the motor imagery paradigm is proposed.•The cerebral ERD patterns and MI-BCIs performance are investigated.•The proposed paradigm improves both ERD and classification accuracy significantly.•Individual classification accuracy is increased by proposed optimal conditions. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compbiomed.2018.03.018 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Brain-computer interface,Common spatial patterns,Event-related desynchronization,Motor imagery,Support vector machine,Dynamic guidance,Complex paradigm,Performance variation | Computer vision,Pattern recognition,Computer science,Support vector machine,Artificial intelligence,Motor imagery,Statistical analysis | Journal |
Volume | ISSN | Citations |
96 | 0010-4825 | 0 |
PageRank | References | Authors |
0.34 | 8 | 6 |