Abstract | ||
---|---|---|
•A dynamic SBP online BCI is proposed and implemented in this paper.•Two threshold algorithms are proposed and compared.•The number of sequences is dynamically limited by the threshold of our algorithm.•Compared with CBP and NFA, the results show significant improvement of practical ITR. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1016/j.bspc.2014.09.005 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Brain–computer interface,Submatrix-based paradigm,Dynamic algorithms,Online,P300 | Checkerboard,Computer science,Adaptive system,Brain–computer interface,Oddball paradigm,Bit rate,Artificial intelligence,Dynamic problem | Journal |
Volume | ISSN | Citations |
15 | 1746-8094 | 2 |
PageRank | References | Authors |
0.38 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jizhong Shen | 1 | 58 | 12.28 |
Jianwei Liang | 2 | 2 | 0.38 |
Jin-He Shi | 3 | 2 | 0.71 |
Yupeng Wang | 4 | 2 | 0.38 |