IEEE Trans Neural Syst Rehabil Eng. 2019 Jun;27(6):1292-1302. doi: 10.1109/TNSRE.2019.2914916. Epub 2019 May 7.
In this paper, we presented a novel asynchronous speller for Chinese sinogram input by incorporating electroencephalography (EOG) into the conventional electroencephalography (EEG)-based spelling paradigm. An EOG-based brain switch was used to activate a classic row-column P300-based speller only when spelling was needed, enabling an asynchronous operation of the system. Then, the user could input sinograms by alternately performing P300 and double-blink tasks until he or she intended to stop spelling. With the incorporation of an EOG detector, the system achieved rapid sinogram input. In addition to asynchronous operation, the performance of the proposed speller was compared with that achieved by a P300-based method alone across 18 subjects. The proposed system showed a mean communication speed of approximately 2.39 sinograms per minute, an increase of 0.83 sinograms per minute compared with the P300-based method. The preliminary online performance indicated that the proposed paradigm is a very promising approach for practical Chinese sinogram input application. This system may also be expanded to users whose languages are written in logographic scripts to serve as an assistive communication tool.
在本文中，我们提出了一种新颖的基于脑电的中文异步输入法，将脑电图（EEG）纳入传统基于脑电图的拼写范式中。我们使用基于脑电图的脑开关仅在需要拼写时激活经典的行-列 P300 基拼写器，从而实现系统的异步操作。然后，用户可以通过交替执行 P300 和双眨眼任务来输入汉字，直到他或她想要停止拼写。通过引入脑电图检测器，该系统实现了快速的汉字输入。除了异步操作外，我们还在 18 名受试者中比较了所提出的拼写器与单独使用 P300 方法的性能。所提出的系统的平均通信速度约为每分钟 2.39 个汉字，与 P300 方法相比每分钟增加了 0.83 个汉字。初步的在线性能表明，所提出的范式是一种非常有前途的实用中文汉字输入应用方法。该系统还可以扩展到使用表意文字的用户，作为辅助通信工具。
