期刊文献+

独立式脑—计算机接口的离线实验及分析 被引量:1

Off-line Experiments and Analysis of Independent Brain—Computer Interface
下载PDF
导出
摘要 设计两个实验以研究自主运动的事件相关去同步模式的特征。实验一:要求未经训练的被试者在提示出现后开始想像用食指按键的动作,并在1 s后实际按键;实验二:作为参照,要求被试者对提示立即反应,使动作想像的时间尽量缩短。通过分析提示与实际动作之间的自发脑电信号,预测被试者用左手或右手按键。在实验一的连续测试中,预测率随测试进行由85%下降到71%;而实验二的预测率近乎随机猜测。结果表明:(1)运动想像的有效持续时间对事件相关去同步模式有显著影响;(2)被试者有效动作想像时间的不自觉地缩短会导致预测率的明显下降。如何保证被试者的有效动作想像时间是后续实验设计中应该重视的问题。 In order to study event-related desynchronization (ERD) related to voluntary movement, we designed two experiments. In the first experiment, untrained subjects were required to imagine the action of typing with left or right index finger for about 1 second before real action, whereas they were required to type instantly after instruction in the second experiment. By analyzing spontaneous EEG singals between the instruction and the action, we predicted which finger was used. The prediction accuracy in the first experiment fell from 85% to 71% with the progress of experiment, the average accuracy being 78%, whereas the prediction result was almost random guess in the second experiment. The results demonstrate that (1) ERD patterns are significantly affected by the effective duration of motion imagination, (2) unconscious reduction of this duration can decrease the prediction accuracy. Therefore, when designing subsequent BCI experiments, we should devote our attention to the question of how to keep the effective duration of motion imagination.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2006年第3期478-482,共5页 Journal of Biomedical Engineering
基金 中国科学技术大学青年基金资助项目(KB2508)
关键词 独立式脑-计算机接口 自发脑电 事件相关去同步 有效动作想像时间 Independent Brain--Computer interface Spontaneous EEG Event-related desynchronization(ERD) Effective duration of motion imagination
  • 相关文献

参考文献6

  • 1Guest Editorial.Brain-Computer interface technology:a review of the second international meeting,IEEE Trans Rehab Eng,2003; 11(2):94
  • 2http://ida.first.fraunhofer.de/~blanker/competition/
  • 3McFarland DJ,McCane LM,David SV,et al.Spatial filter selection for EEG-based communication.Electroencephalo-graphy and Clinical Neurophysiology,1997; 103(3):386
  • 4Pfurtscheller G,Lopes da Silva LH.Event-related EEG/MEG synchronization and desynchronization:basic principles.Clinical Neurophysiology,1999; 110(11):1842
  • 5Yom-Tov E,Inbar GF.Feature selection for the classification of movements from single movement-related potentials.IEEE Trans Rehab Eng,2002; 10(3):170
  • 6Müller KR,Anderson CW,Birch GE.Linear and nonlinear methods for Brain-Computer interfaces.IEEE Trans Rehab Eng,2003; 11(2):165

同被引文献7

引证文献1

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部