A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials
A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials
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DOI：
10.1109/ner49283.2021.9441135
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Chuyang Xiao;Kuan-Jung Chiang;M. Nakanishi;T. Jung
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文献类型：
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作者：
Chuyang Xiao;Kuan-Jung Chiang;M. Nakanishi;T. Jung
视觉刺激器在基于稳态视觉诱发电位（SSVEP）的脑机接口（BCI）中起着重要作用。在传统的脑机接口研究中，SSVEP是由一个单一的刺激，其闪烁频率在试验中变化，或多个刺激同时以不同的频率闪烁。已经隐含地假设由单靶刺激方法和多靶刺激方法产生的SSVEP是相当的。然而，没有研究直接比较它们在诱发SSVEP方面的疗效。因此，本研究使用这两种方法产生的4类SSVEP进行了信噪比（SNR）和分类准确性的定量比较。通过三种常用的目标识别算法评估分类精度，包括基于校准的典型相关分析（CCA）方法和基于模板的方法，基于CCA和任务相关成分分析（TRCA）的空间滤波器。结果表明，单目标刺激方法比多目标刺激方法具有更高的信噪比和分类精度。
A visual stimulator plays an important role in a steady-state visual evoked potential (SSVEP)-based braincomputer interface (BCI). In conventional BCI studies, SSVEPs have been elicited by either a single stimulus whose flickering frequency varies across trials or multiple stimuli flickering at different frequencies simultaneously. It has been implicitly assumed that the SSVEPs generated by the single- and multiple-target stimulation methods are comparable. However, no study has directly compared their efficacy in eliciting SSVEPs. This study, therefore, performed a quantitative comparison of signal-to-noise ratio (SNR) and classification accuracy using 4-class SSVEPs generated by these two methods. The classification accuracy was estimated by three commonly-used target identification algorithms including calibration-free canonical correlation analysis (CCA)-based method and template-based methods with CCA- and task-related component analysis (TRCA)-based spatial filters. The results showed that the single-target stimulation method led to significantly higher SNR and classification accuracy than its multi-target counterpart.