This paper proposes a novel tactile-stimuli based P300 paradigm for Brain-Computer Interface (BCI), with only one target site stimulated in each block. It features a combination of spatial and frequency information, using the spatial information identifying the sites of stimuli and frequency information distinguishing target stimuli and non-target stimuli. A classification algorithm has also been developed by introducing filters with selected frequency bands and conducting optimization with common spatial pattern (CSP) on the tactile evoked EEG signals. We investigated both electrical stimulation and vibration stimulation in twenty healthy subjects. The results demonstrated an average accuracy of 94.88% for electrical stimuli and 95.21% for vibration stimuli, respectively. Together with its simpleness, this paradigm is particularly suitable for the elderly and people with less learning ability and difficulties in long-term concentration, e.g. stroke and dementia patients.

中文翻译：

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基于电和振动简单命令触觉刺激的 P300 脑机接口范例


本文提出了一种新型的基于触觉刺激的 P300 脑机接口 (BCI) 范例，每个块中仅刺激一个目标部位。它的特点是空间和频率信息的结合，利用空间信息识别刺激的部位，利用频率信息区分目标刺激和非目标刺激。通过引入具有选定频带的滤波器并对触觉诱发脑电图信号进行通用空间模式（CSP）优化，还开发了分类算法。我们对二十名健康受试者进行了电刺激和振动刺激的研究。结果表明，电刺激的平均准确度为 94.88%，振动刺激的平均准确度为 95.21%。由于其简单性，这种模式特别适合老年人和学习能力较差、难以长时间集中注意力的人，例如中风和痴呆症患者。