事件相关脑电的量化表征对于研究意识任务识别和认识大脑思维机制具有重要意义。

The quantification of event-related EEG is important in identifying mental tasks and study brain thinking mechanism.

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本文的工作重点在前端，设计了一种进行意识思维任务时脑电信号(EEG)的高辨识率二分类bci，并提出了一种应用此二分类bci进行多种工作任务识别的方法。

Here the focus is the front, designing a high classification BCI only using simple sensibilities mental task EEG signal and indication a method using this BCI to sort many kinds of tasks.

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