A visual parallel-BCI speller based on the time–frequency coding strategy

A visual parallel-BCI speller based on the time–frequency coding strategy
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DOI:
10.1088/1741-2560/11/2/026014
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发表时间:
2014-04
影响因子:
4
通讯作者:
Minpeng Xu;Long Chen;Lixin Zhang;Hongzhi Qi;Lan Ma;Jiabei Tang;B. Wan;Dong Ming
Minpeng Xu;Long Chen;Lixin Zhang;Hongzhi Qi;Lan Ma;Jiabei Tang;B. Wan;Dong Ming
中科院分区:
工程技术2区
文献类型:
--
作者:
Minpeng Xu;Long Chen;Lixin Zhang;Hongzhi Qi;Lan Ma;Jiabei Tang;B. Wan;Dong Ming

文献摘要

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目标。拼写是脑机接口(BCI)研究中的一个重要问题。本文开发了一种基于时频编码策略的视觉并行脑机接口拼字系统,该系统以并行方式识别同时呈现的四个子拼字器之间的子拼字切换和字符选择。的方法。并行bci拼字器由4个不同闪烁频率的独立P300+SSVEP- b (P300 +SSVEP阻塞)拼字器组成,因此所有字符都具有特定的时频编码。为了验证其有效性,11名受试者参与了离线和在线拼写。结合典型相关分析和逐步线性判别分析,设计了一种识别目标特征的分类策略。主要的结果。在线拼写结果表明,所提出的并行bci拼写器具有较高的性能,最高的信息传输速率为67.4 bit min - 1,在3轮和5轮中,平均传输速率分别为54.0 bit min - 1和43.0 bit min - 1。的意义。结果表明,所提出的并行脑机接口可以有效地控制用户的注意力,并在子拼写词之间流畅地转移,大大提高了脑机接口的拼写性能。
Objective. Spelling is one of the most important issues in brain–computer interface (BCI) research. This paper is to develop a visual parallel-BCI speller system based on the time–frequency coding strategy in which the sub-speller switching among four simultaneously presented sub-spellers and the character selection are identified in a parallel mode. Approach. The parallel-BCI speller was constituted by four independent P300+SSVEP-B (P300 plus SSVEP blocking) spellers with different flicker frequencies, thereby all characters had a specific time–frequency code. To verify its effectiveness, 11 subjects were involved in the offline and online spellings. A classification strategy was designed to recognize the target character through jointly using the canonical correlation analysis and stepwise linear discriminant analysis. Main results. Online spellings showed that the proposed parallel-BCI speller had a high performance, reaching the highest information transfer rate of 67.4 bit min−1, with an average of 54.0 bit min−1 and 43.0 bit min−1 in the three rounds and five rounds, respectively. Significance. The results indicated that the proposed parallel-BCI could be effectively controlled by users with attention shifting fluently among the sub-spellers, and highly improved the BCI spelling performance.