模拟环境下随机运动刺激的ssvep -脑机接口

N. Zhang, Yadong Liu, Zongtan Zhou
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引用次数: 3

摘要

本文设计了一种基于刺激目标数量变化的稳态视觉诱发电位(SSVEP)的脑机接口(BCI)范式,模拟了BCI在运动目标识别与跟踪领域的应用效果。在每次试验中,刺激的数量、路径和目标是随机产生的。实验结果表明,该范式是可用的,正确率没有明显下降。这为研究真实环境下的目标检测提供了依据,并对新的评价指标提出了期望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A SSVEP-BCI with random moving stimuli in simulation environment
In this paper, a brain-computer interface (BCI) paradigm based on steady-state visually evoked potentials (SSVEP) with stimulus targets' number change is designed to simulate the effects of BCI when used in the field of moving objects recognition and tracking. Stimulus' number, path and the target are created at random in each trial. Experimental results show that the paradigm is usable, and there is no a clear decline in the correct rate. This provides a basis for study of the target detection in real environments, and raise a desired for new evaluating indicator.
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