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A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature

机译:结合了P300潜力和SSVEP阻止功能的混合BCI拼写范例

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摘要

Objective. Hybrid brain-computer interfaces (BCIs) have been proved to be more effective in mental control by combining another channel of physiologic control signals. Among those studies, little attention has been paid to the combined use of a steady-state visual evoked potential (SSVEP) and P300 potential, both providing the fastest and the most reliable EEG based BCIs. In this paper, a novel hybrid BCI speller is developed to elicit P300 potential and SSVEP blocking (SSVEP-B) distinctly and simultaneously with the same target stimulus. Approach. Twelve subjects were involved in the study and every one performed offline spelling twice in succession with two different speller paradigms for comparison: hybrid speller and control P300-speller. Feature analysis was adopted from the view of time domain, frequency domain and spatial distribution; the performances were evaluated by character accuracy and information transfer rate (ITR). Main results. Signal analysis of the hybrid paradigm shows that SSVEPs are an evident EEG component during the nontarget phase but are dismissed and replaced by P300 potentials after target stimuli. The absence of an SSVEP, called SSVEP-B, mostly appearing in channel Oz, presents a sharp distinction between target responses and nontarget responses. The r~2 value of SSVEP-B in channel Oz is comparable to that of P300 in channel Cz. Compared with the control P300-speller, the hybrid speller achieves significantly higher accuracy and ITR with combined features. Significance. The results indicate that the combination of P300 with an SSVEP-B improves target discrimination greatly; the proposed hybrid paradigm is superior to the control paradigm in spelling performance. Thus, our findings provide a new approach to improve BCI performances.
机译:目的。通过组合生理控制信号的另一个通道,混合脑机接口(BCI)已被证明在精神控制方面更有效。在这些研究中,很少将注意力集中在稳态视觉诱发电位(SSVEP)和P300电位的组合使用上,两者均提供了基于最快和最可靠的基于EEG的BCI。在本文中,开发了一种新型的混合BCI拼写器,以在相同的目标刺激下同时清晰地引发P300电位和SSVEP阻断(SSVEP-B)。方法。 12名受试者参与了这项研究,每位受试者都连续两次进行了离线拼写,并使用两种不同的拼写范例进行比较:混合拼写和对照P300拼写。从时域,频域和空间分布的角度进行了特征分析。通过字符准确性和信息传输率(ITR)来评估性能。主要结果。混合范式的信号分析表明,SSVEP在非靶标阶段是明显的EEG成分,但在靶标刺激后被P300电势消除并取代。缺少SSVEP(称为SSVEP-B)(主要出现在Oz通道中)在目标响应和非目标响应之间形成了鲜明的区别。通道Oz中SSVEP-B的r〜2值与通道Cz中P300的r〜2值相当。与控制P300-speller相比,混合拼写器具有更高的准确性和综合功能的ITR。意义。结果表明,P300与SSVEP-B的组合可大大提高目标分辨力。提出的混合范式在拼写性能方面优于控制范式。因此,我们的发现提供了一种改进BCI性能的新方法。

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  • 来源
    《Journal of neural engineering》 |2013年第2期|2.1-2.13|共13页
  • 作者单位

    Department of Biomedical Engineering, Tianjin University, Nankai, Tianjin, People's Republic of China;

    Department of Biomedical Engineering, Tianjin University, Nankai, Tianjin, People's Republic of China,Institute of Biomedical Engineering, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China,Authors to whom any correspondence should be addressed;

    Department of Biomedical Engineering, Tianjin University, Nankai, Tianjin, People's Republic of China;

    Institute of Biomedical Engineering, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China;

    Institute of Biomedical Engineering, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China;

    Department of Biomedical Engineering, Tianjin University, Nankai, Tianjin, People's Republic of China,Authors to whom any correspondence should be addressed;

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