How many people are able to operate an EEG-based brain-computer interface (BCI)?
How many people are able to operate an EEG-based brain-computer interface (BCI)?
复制标题
DOI：
10.1109/tnsre.2003.814481
复制
发表时间：
2003-06-01
影响因子：
4.9
通讯作者：
Pfurtscheller, G
中科院分区：
文献类型：
--
作者：
Guger, C;Edlinger, G;Pfurtscheller, G
99名健康人参加了在奥地利格拉茨举行的一次博览会上进行的脑机接口(BCI)现场研究。每个受试者花20-30分钟进行为期两次的脑机接口调查。第一次会议由40次试验组成，没有反馈。然后，建立了一个特定于受试者的分类器来向受试者提供反馈，并进行了第二次实验--受试者必须控制计算机屏幕上的水平条--共40次。受试者被指示想象一个右手动作或一个脚部动作，然后根据箭头的方向进行提示刺激。双极电极安装在右手表示区和足部表示区上。给出了1)自适应自回归模型(39个对象)和2)频带功率估计(60个对象)所获得的分类结果。经过两次训练，大约93%的受试者能够达到60%以上的分类准确率。
Ninety-nine healthy people participated in a brain-computer interface (BCI) field study conducted at an exposition held in Graz, Austria. Each subject spent 20-30 min on a two-session BCI investigation. The first session consisted of 40 trials conducted without feedback. Then, a subject-specific classifier was set up to provide the subject with feedback, and the second session-40 trials in which the subject had to control a horizontal bar on a computer screen-was conducted. Subjects were instructed to imagine a right-hand movement or a foot movement after a cue stimulus depending on the direction of an arrow. Bipolar electrodes were mounted over the right-hand representation area and over the foot representation area. Classification results achieved with 1) an adaptive autoregressive model (39 subjects) and 2) band power estimation (60 subjects) are presented. Roughly 93% of the subjects were able to achieve classification accuracy above 60% after two sessions of training.