A novel task-oriented optimal design for P300-based brain-computer interfaces

被引:35
|
作者
Zhou, Zongtan [1 ]
Yin, Erwei [1 ]
Liu, Yang [1 ]
Jiang, Jun [1 ]
Hu, Dewen [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Dept Automat Control, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
brain-computer interface; P300; ERP; EEG; optimal design; SPELLER; PERFORMANCE; ROBOT;
D O I
10.1088/1741-2560/11/5/056003
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Objective. The number of items of a P300-based brain-computer interface (BCI) should be adjustable in accordance with the requirements of the specific tasks. To address this issue, we propose a novel task-oriented optimal approach aimed at increasing the performance of general P300 BCIs with different numbers of items. Approach. First, we proposed a stimulus presentation with variable dimensions (VD) paradigm as a generalization of the conventional single-character (SC) and row-column (RC) stimulus paradigms. Furthermore, an embedding design approach was employed for any given number of items. Finally, based on the score-P model of each subject, the VD flash pattern was selected by a linear interpolation approach for a certain task. Main results. The results indicate that the optimal BCI design consistently outperforms the conventional approaches, i.e., the SC and RC paradigms. Specifically, there is significant improvement in the practical information transfer rate for a large number of items. Significance. The results suggest that the proposed optimal approach would provide useful guidance in the practical design of general P300-based BCIs.
引用
收藏
页数:9
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