TY -的T1下的脑机接口的性能评价两个生物反馈模式(P1.280) JF -神经学乔-神经学六世- 82 - 10补充Brian Appavu SP - P1.280盟盟-兰开斯特盟Jenessa -雷米Wahnoun AU - p·大卫·首页阿德尔森Y1 - 2014/04/08 UR - //www.ez-admanager.com/content/82/10_Supplement/P1.280.abstract N2 -目的:脑-机接口(bci)允许大脑信号转化为计算机输出,可以执行用户的意图。我们的目标是确定非侵入性的学习曲线BCI从传统生物反馈可以提高通过允许一个指向对象的位置直接镜子给定脑电图波的振幅。背景:大多数工作在BCI迄今为止利用颅内电极由于信号质量和直接的诠释皮质表达式。我们假设确定用户获得控制,加速学习的性质可能有助于开发BCI,可以使用准确和可靠,提高信号处理结合生物反馈学习可以提高BCI效率使用非侵入性的脑电图。设计/方法:12个健康成人志愿者使用非侵入性与128 -通道BCI标准头皮脑电图。在虚拟环境中,任务是将一个球的两个目标之一,而交替之间两种不同的生物反馈条件。传统的生物反馈条件被称为,“速度控制”。在这种情况下,球在屏幕上移动的速度反映了脑电图波的振幅在8 - 12赫兹之间。我们测试的第二个条件,称为“位置控制”。在这种情况下,屏幕上的特定位置的球直接反映脑电图波的振幅。 RESULTS: Participants showed strong disparity in their ability to learn the BCI task. Three of the twelve subjects that participated reached good control (>70.0% target hit average). All three individuals demonstrated stronger performance in target hit percentage under “position control” (94%, 85%, 76%), as opposed to “velocity control” (76%, 44%, 69%). CONCLUSION: Our data suggests that BCI biofeedback conditions that allow the position of a cursor to directly mirror the amplitude of the given EEG wave could provide a better alternative for BCI utilization than traditional methods.Disclosure: Dr. Appavu has nothing to disclose. Dr. Lancaster has nothing to disclose. Dr. Wahnoun has nothing to disclose. Dr. Adelson has nothing to disclose.Monday, April 28 2014, 3:00 pm-6:30 pm ER -