Influence of external cues on synchronized Brain-Computer Interface based on movement related cortical potentials

Heiko Scheel, Ren Xu, N. Jiang, N. Mrachacz‐Kersting, K. Dremstrup, D. Farina
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引用次数: 5

Abstract

Brain-Computer Interfacing is a promising approach to aid the rehabilitation process of patients suffering the consequences of neurological injuries. It has been shown in recent literature that a closed-loop setup utilizing the detection of movement-related cortical potentials (MRCP) to generate afferent feedback can efficiently help the stroke patients to regain or improve motor-abilities. The above study used the synchronized BCI paradigm, because the subject may not be able to perform the necessary motor tasks all by themselves. In synchronized BCI, a cue is presented to indicate the exact time for an imagination task that is used as a training session. It is not clear, whether or not the property of the presented cue has any influence on the resulting potentials, which is the subject of investigation in this work. The results suggest that different types of cues i.e. audio and visual, have a significant effect on the resulting MRCP. The MRCP from the auditory-based cue paradigm showed a significantly lager amplitude before Large Laplacian spatial filtering. Additionally, it was found that this typical filter might not be optimal for the auditory paradigm, as it significantly reduces the amplitude of the peaking activity of MRCP.
外部线索对基于运动相关皮层电位的同步脑机接口的影响
脑机接口是一种很有前途的方法,可以帮助神经损伤患者的康复过程。最近的文献表明,利用检测运动相关皮层电位(MRCP)来产生传入反馈的闭环设置可以有效地帮助中风患者恢复或改善运动能力。上述研究使用了同步脑机接口范式,因为受试者可能无法完全自己完成必要的运动任务。在同步脑机接口中,提供一个提示来指示想象任务的确切时间,该任务被用作训练环节。目前尚不清楚,所呈现的线索的性质是否对所产生的电位有任何影响,这是本工作的研究主题。结果表明,不同类型的线索(音频和视觉)对产生的MRCP有显著影响。在大拉普拉斯空间滤波前,基于听觉的线索范式的MRCP表现出显著的大振幅。此外,我们发现这种典型的过滤器可能不是听觉范式的最佳选择,因为它显著降低了MRCP峰值活动的幅度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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