• 校内登录

个人信息 更多+
  • 教师姓名: 谢俊
  • 电子邮箱:
  • 所在单位: 机械工程学院
  • 学历: 博士研究生毕业
  • 办公地点: 西安交通大学曲江校区西五楼A209室;
    西安交通大学创新港校区2号巨构3175室。
  • 性别: 男
  • 联系方式:
  • 学位: 博士
  • 职称: 教授
  • 博士生导师: 是
  • 硕士生导师: 是

论文成果

当前位置: 中文主页 - 科学研究 - 论文成果

Effects of Mental Load and Fatigue on Steady-State Evoked Potential Based Brain Computer Interface Tasks: A Comparison of Periodic Flickering and Motion-Reversal Based Visual Attention

发布时间:2025-04-30
点击次数:
发布时间:
2025-04-30
论文名称:
Effects of Mental Load and Fatigue on Steady-State Evoked Potential Based Brain Computer Interface Tasks: A Comparison of Periodic Flickering and Motion-Reversal Based Visual Attention
发表刊物:
PLoS ONE
摘要:
Steady-state visual evoked potentials (SSVEP) based paradigm is a conventional BCI method with the advantages of high information transfer rate, high tolerance to artifacts and the robust performance across users. But the occurrence of mental load and fatigue when users stare at flickering stimuli is a critical problem in implementation of SSVEP-based BCIs. Based on electroencephalography (EEG) power indices alpha, theta, theta + alpha, ratio index theta/alpha and response properties of amplitude and SNR, this study quantitatively evaluated the mental load and fatigue in both of conventional flickering and the novel motion-reversal visual attention tasks. Results over nine subjects revealed significant mental load alleviation in motion-reversal task rather than flickering task. The interaction between factors of “stimulation type” and “fatigue level” also illustrated the motion-reversal stimulation as a superior anti-fatigue solution for long-term BCI operation. Taken together, our work provided an objective method favorable for the design of more practically applicable steady-state evoked potential based BCIs.
合写作者:
Jun Xie, Guanghua Xu, Jing Wang, Min Li, Chengcheng Han, Yaguang Jia.
是否译文:
发表时间:
2016-09-22