IEEE Trans Neural Syst Rehabil Eng. 2018 Feb;26(2):334-343. doi: 10.1109/TNSRE.2017.2736600. Epub 2017 Aug 11.
Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FM- and RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i.e., 360.4-379.6 ms; 5.5867- ) than the NM-RSVP (i.e., 480.4 ms; ). This led to higher and more stable performances for FM- and RM-RSVP spellers than NM-RSVP speller (i.e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.
基于事件相关电位(ERP)的脑机接口(BCI)拼字器主要使用矩阵布局,通常需要适度的眼球运动才能成功操作。本文的基本目标是通过向不需要任何眼球运动的经典快速序列视觉呈现(RSVP)拼字器引入运动刺激来增强目标字符的可感知性,从而将其应用于患有眼球运动障碍的瘫痪患者。为了测试所提出的基于运动的 RSVP 范式的可行性,我们实现了三种 RSVP 拼字器:1)固定方向运动(FM-RSVP);2)随机方向运动(RM-RSVP);3)(传统)无运动刺激(NM-RSVP),并评估了三种不同刺激方法对拼写性能的影响。两种基于运动的刺激方法 FM-和 RM-RSVP 的 P300 潜伏期和 P300 幅度(即 360.4-379.6 ms;5.5867- )均短于 NM-RSVP(即 480.4 ms; )。这导致 FM-和 RM-RSVP 拼字器的性能比 NM-RSVP 拼字器更高且更稳定(即 NM-RSVP 为 79.06±6.45%,RM-RSVP 为 90.60±2.98%,FM-RSVP 为 92.74±2.55%)。特别是,对于那些可能无法准确感知快速呈现的静态刺激的大约一半受试者来说,所提出的基于运动的 RSVP 范式具有明显的优势。这些结果表明,在为患有复杂眼动障碍的严重瘫痪患者开发 BCI 应用程序时,使用所提出的基于运动的 RSVP 范式更有利于目标识别。