ERP-based Speller with a New Paradigm

J. Sohn, Mi-Sook Park, Hye-Ryeon Yang, Young-Ji Eum, J. Eom
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Abstract

In most implementation of an ERP-based speller, standard row-column paradigm (RCP) was used. However, RCP is susceptible to adjacency-distraction errors because items in the same row or column of the target flash at the time of a half when the target item flashes. The adjacency-distraction errors could be reduced if the number of flanking items that flash with the target is diminished. This study presents a novel P300-based stimulus presentation called row-column-diagonal paradigm (RCDP) where characters on the main diagonal and the anti-diagonal in the matrix flash in addition to characters on the row and columns. In RCDP, items in the same row, column, main diagonal, and anti-diagonal of the target flashes at the time of a quarter when the target item flashes. Using a 6×6 matrix of alphanumeric characters and keyboard commands, ten college students used RCP and RCDP. Stepwise linear discriminant analysis (SWLDA) for the EEG signals recorded in calibration phases was used to calculate discrimininant function. By applying the discrimininant function to electroencephalography (EEG) signal recorded in the test phase, the probability whether the item was the target or not was evaluated. Average accuracy was 76.6% in RCP while 84.0% in RCDP. With RCP, most errors were occurred in the same row or column of the target; on the other hand, with RCDP in the same row, column, main diagonal, or anti-diagonal of the target. These findings indicate how RCDP reduces adjacency-distraction errors and might be able to contribute to develop more advanced stimulus presentation paradigm.
基于erp的新范式拼写器
在大多数基于erp的拼写器实现中,使用了标准的行-列范式(RCP)。然而,RCP容易受到邻接分散错误的影响,因为在目标项目闪烁的一半时间内,目标的同一行或同列的项目闪烁。如果减少与目标一起闪现的侧翼物品的数量,邻接分散错误可能会减少。本研究提出了一种新的基于p300的刺激呈现,称为行-列-对角范式(RCDP),即矩阵中主对角线和反对角线上的字符除了行和列上的字符外,还会闪现。在RCDP中,当目标项闪烁时,目标的同一行、同列、同主对角线和同反对角线中的项在四分之一的时间闪烁。十位大学生使用了一个6×6字母数字矩阵和键盘命令,使用了RCP和RCDP。采用逐步线性判别分析(SWLDA)对标定阶段记录的脑电信号进行判别函数计算。通过对测试阶段记录的脑电图信号应用判别函数,评估该项目是否是目标的概率。RCP的平均准确率为76.6%,而RCDP的平均准确率为84.0%。在RCP中,大多数错误发生在目标的同一行或同列;另一方面,与RCDP在目标的同一行、列、主对角线或反对角线上。这些发现表明RCDP如何减少邻接分散错误,并可能有助于发展更先进的刺激呈现范式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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