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Comparison of Pupil Size and Visual Evoked Potentials under 1-6Hz Visual Stimulation*

机译:1-6Hz视觉刺激下瞳孔大小和视觉诱发电位的比较*

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In order to explore the effect of low frequency stimulation on pupil size and electroencephalogram (EEG), we presented subjects with 1-6Hz black-and-white-alternating flickering stimulus, and compared the differences of signal-to-noise ratio (SNR) and classification performance between pupil size and visual evoked potentials (VEPs). The results showed that the SNR of the pupillary response reached the highest at 1Hz (17.19± 0.10dB) and 100% accuracy was obtained at 1s data length, while the performance was poor at the stimulation frequency above 3Hz. In contrast, the SNR of VEPs reached the highest at 6Hz (18.57± 0.37dB), and the accuracy of all stimulus frequencies could reach 100%, with the minimum data length of 1.5s. This study lays a theoretical foundation for further implementation of a hybrid brain-computer interface (BCI) that integrates pupillometry and EEG.
机译:为了探讨低频刺激对瞳孔大小和脑电图(EEG)的影响,我们为受试者提供了1-6Hz黑白交替闪烁刺激,并比较了信噪比(SNR)的差异和瞳孔大小与视觉诱发电位(VEP)之间的分类性能。结果表明,瞳孔反应的SNR在1Hz时达到最高(17.19±0.10dB),在1s的数据长度下获得100%的准确度,而在3Hz以上的刺激频率下性能较差。相比之下,VEP的SNR在6Hz(18.57±0.37dB)时达到最高,所有刺激频率的精度可以达到100%,最小数据长度为1.5s。这项研究为进一步实现混合瞳孔测量和脑电图的混合脑机接口(BCI)奠定了理论基础。

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