Zhang Xin, Xu Guanghua, Xie Jun, Zhang Xun
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China.
PLoS One. 2017 Nov 15;12(11):e0188073. doi: 10.1371/journal.pone.0188073. eCollection 2017.
Steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) has advantages of high information transfer rate (ITR), less electrodes and little training. So it has been widely investigated. However, the available stimulus frequencies are limited by brain responses. Simultaneous modulation of stimulus luminance is a novel method to resolve this problem. In this study, three experiments were devised to gain a deeper understanding of the brain response to the stimulation using inter-modulation frequencies. First, luminance-based stimulation using one to five inter-modulation frequencies was analyzed for the first time. The characteristics of the brain responses to the proposed stimulation were reported. Second, the motion-based stimulation with equal luminance using inter-modulation frequencies was also proposed for the first time. The response of the brain under these conditions were similar to that of luminance-based stimulation which can induce combination frequencies. And an elementary analysis was conducted to explain the reason of the occurrence of combination frequencies. Finally, the online test demonstrated the efficacy of our proposed two stimulation methods for BCI. The average ITRs reached 34.7836 bits/min and 39.2856 bits/min for luminance-based and motion-based stimulation respectively. This study demonstrated that the simultaneous modulation of stimulus luminance could extend to at least five frequencies to induce SSVEP and the brain response to the stimulus still maintained a certain positive correlation with luminance. And not only luminance-based stimulation, but also motion-based stimulation with equal luminance can elicit inter-modulation frequencies to effectively increase the number of targets for multi-class SSVEP.
基于稳态视觉诱发电位(SSVEP)的脑机接口(BCI)具有信息传输率高、电极数量少和训练量小等优点,因此受到了广泛研究。然而,可用的刺激频率受大脑响应的限制。同时调制刺激亮度是解决这一问题的一种新方法。在本研究中,设计了三个实验,以更深入地了解大脑对使用互调频率进行刺激的响应。首先,首次分析了使用一到五个互调频率的基于亮度的刺激。报告了大脑对所提出刺激的响应特征。其次,首次提出了使用互调频率且亮度相等的基于运动的刺激。在这些条件下大脑的反应与基于亮度的刺激相似,后者可诱导产生组合频率。并进行了初步分析以解释组合频率出现的原因。最后,在线测试证明了我们提出的两种刺激方法对BCI的有效性。基于亮度的刺激和基于运动的刺激的平均信息传输率分别达到34.7836比特/分钟和39.2856比特/分钟。本研究表明,刺激亮度的同时调制可扩展到至少五个频率以诱导SSVEP,并且大脑对刺激的响应与亮度仍保持一定的正相关。不仅基于亮度的刺激,而且亮度相等的基于运动的刺激都可以引发互调频率,从而有效地增加多类SSVEP的目标数量。