Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters
Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters
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DOI：
10.3171/2009.4.focus0977
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发表时间：
2009-07-01
影响因子：
4.1
通讯作者：
Ojemann, Jeffrey G.
中科院分区：
文献类型：
--
作者：
Blakely, Tim;Miller, Kai J.;Ojemann, Jeffrey G.
之前所有的多日脑机接口（BCI）实验都动态调整了从大脑测量的信号与用于控制接口的功能之间的参数化。作者展示了多日皮层脑电图 (ECoG) BCI 实验的结果。一名植入硬膜下电极阵列用于癫痫定位的患者执行了舌头运动任务。在第一天进行初步筛选和特征选择后，使用固定参数化进行连续 5 天的基于光标的反馈。界面控制全天都很稳定，性能提高到稳定状态，高频 ECoG 信号可以立即转化为光标控制。这些发现表明，基于 ECoG 的 BCI 可以实现多天控制，而无需复杂的重新训练和适应。 （DOI：10.3171/2009.4.FOCUS0977）
All previous multiple-day brain-computer interface (BCI) experiments have dynamically adjusted the parameterization between the signals measured from the brain and the features used to control the interface. The authors present the results of a multiple-day electrocorticographic (ECoG) BCI experiment.A patient with a subdural electrode array implanted for seizure localization performed tongue motor tasks. After an initial screening and feature selection on the 1st day, 5 consecutive days of cursor-based feedback were performed with a fixed parameterization. Control of the interface was robust throughout all days, with performance increasing to a stable state in which high-frequency ECoG signal could immediately be translated into cursor control.These findings demonstrate that ECoG-based BCIs can be implemented for multiple-day control without the necessity for sophisticated retraining and adaptation. (DOI:10.3171/2009.4.FOCUS0977)