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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >A multi-command SSVEP-based BCI system based on single flickering frequency half-field steady-state visual stimulation
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A multi-command SSVEP-based BCI system based on single flickering frequency half-field steady-state visual stimulation

机译:基于单闪烁频率半场稳态视觉刺激的基于多命令SSVEP的BCI系统

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摘要

Steady-state visual evoked potentials (SSVEPs) are widely employed in brain-computer interface (BCI) applications, especially to control machines. However, the use of SSVEPs leads to eye fatigue and causes lower accuracy over the long term, particularly when multi-commands are required. Therefore, this paper proposes a halffield steady-state visual stimulation pattern and paradigm to increase the limited number of commands that can be achieved with existing SSVEP-based BCI methods. Following the theory of vision perception and existing half-field SSVEP-based BCI systems, the new stimulation pattern generates four commands using only one frequency flickering stimulus and has an average classification accuracy of approximately 75 %. According to the proposed stimulus pattern, using only one frequency without requiring users to stare directly at the flickering stimulus allows users to easily focus on the system and experience less visual fatigue compared to existing systems. Furthermore, new half-field SSVEP-based BCI systems are proposed, incorporating our proposed feature extraction and decision-making algorithm. Extracting the signal from the occipital area and using a reference electrode position at the parietal area yielded better results compared to the central area. In addition, we recommend using an LED or LCD as the visual stimulus device (at the recommended size), which yielded comparable results to our proposed feature extraction and decision-making algorithm. Finally, an application of the proposed system is demonstrated for real-time television control.
机译:稳态视觉诱发电位(SSVEPS)广泛用于脑电脑界面(BCI)应用,尤其是控制机器。然而,使用SSVEPS导致眼睛疲劳并在长期内导致较低的精度,特别是当需要多个命令时。因此,本文提出了HALFFIELD稳态视觉刺激模式和范例,以增加通过现有的基于SSVEP的BCI方法可以实现的有限数量的命令。在视觉感知和基于现有的半场SSVEP的BCI系统的理论之后,新的刺激模式仅使用一个频率闪烁刺激产生四个命令,并且平均分类精度约为75%。根据所提出的刺激模式,仅使用一个频率而不需要用户直接凝视闪烁刺激,允许用户轻松地关注系统并且与现有系统相比,体验更少的视觉疲劳。此外,提出了新的基于半场SSVEP的BCI系统,包括我们所提出的特征提取和决策算法。与中央区域相比,从枕部区域提取来自枕部区域的信号并在顶部区域使用参考电极位置产生更好的结果。此外,我们建议使用LED或LCD作为视觉刺激装置(以推荐的尺寸),从而为我们所提出的特征提取和决策算法产生了可比的结果。最后,对实时电视控制进行了拟议系统的应用。

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