视觉疲劳对稳态视觉诱发电位脑机接口的影响

Dimitra Makri, C. Farmaki, V. Sakkalis
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引用次数: 22

摘要

脑机接口是大脑和外部设备之间的直接通信途径,需要脑力劳动才能有效地工作。在长期使用这种接口系统后,受试者报告有疲劳症状。疲劳对脑电信号的影响会干扰人机通信,降低脑电信号的可靠性。本文评估了疲劳对基于ssvep的脑机接口使用的影响。13名健康受试者参与了实验,实验使用了最初为在线轮椅导航设计的脑机接口系统。信号分析基于准确率、频段功率谱和SSVEP振幅提取。尽管准确度水平没有统计学上的显著差异,但随着时间的推移,自我报告的疲劳水平增加,SSVEP振幅下降。我们的分析表明没有一致的波段功率变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual fatigue effects on Steady State Visual Evoked Potential-based Brain Computer Interfaces
Brain computer interfaces are a direct communication pathway between the brain and external devices and require mental effort to work efficiently. After long use of such interfacing systems, subjects have reported fatigue symptoms. Fatigue influence on the EEG signals could disrupt human-computer communication and decrease the reliability of the responses. In this paper, fatigue effects on SSVEP-based BCI use are evaluated. Thirteen healthy subjects participated in the experiment, which uses a BCI system originally designed for online wheelchair navigation. Signal analysis was based on accuracy rates, band power spectra and SSVEP amplitudes extraction. Although accuracy levels show no statistically significant differences, self-reported fatigue levels increase and SSVEP amplitudes decrease with time. Our analysis demonstrates no consistent band power changes.
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