Under the condition of no stimulation during the mental tasks, mental EEG can be obtained direcetly through left-right hands imagery movement.
思维作业期间，在不进行任何外界刺激的情况下，通过左右手想象运动就可以直接获取思维脑电。
In this report the EEG of 53 patients with mental development retardation was studied comparatively before and after receiving fetal brain transplantation.
对53例精神发育迟滞患者胎脑移植术前后的脑电图进行对比研究。
Extensive EEG research has demonstrated that brains produce different brain waves, rhythms of electrical voltage, depending on their mental state.
广泛的EEG研究已经展现大脑会根据精神状态不同而制造出各种不同的脑电波、电压节奏。
Methods: EEG of 113 patients with epileptic mental disorders diagnosed by judicial appraisal was analysed.
方法：对113例司法机关提供的癫性精神障碍者的脑电图资料进行分析。
A control method of the prosthetic hand based on the electroencephalogram (EEG) of several designated mental tasks was proposed.
提出了一种基于特定几种心理作业的脑电信号控制假手的方法。
Objective To investigate the changes of non-linear dynamics properties of EEG under different mental tasks, and the application of non-linear dynamic analysis for cognitive function research.
目的探讨在不同认知作业状态下脑电非线性动力学特性的变化规律，以及脑电非线性动态分析在认知过程研究中的作用。
A high accuracy BCI is designed using electroencephalogram EEG signals where the subjects have to think of only a single mental task.
设计一种仅使用进行简单思维任务时脑电信号(脑电图)的高准确率脑机接口。
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.
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。
The quantification of event-related EEG is important in identifying mental tasks and study brain thinking mechanism.
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。
Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).
目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。
Objective To investigate the relationship between mental fatigue and power spectrum features of electroencephalogram(EEG)in order to find feasible objective indexes for analyzing mental fatigue level.
目的研究连续数学运算对脑力疲劳的影响，探讨脑电的功率谱特征与脑力疲劳之间的关系，寻找脑力疲劳程度评价的客观指标。
Objective To investigate the relationship between mental fatigue and power spectrum features of electroencephalogram(EEG)in order to find feasible objective indexes for analyzing mental fatigue level.
目的研究连续数学运算对脑力疲劳的影响，探讨脑电的功率谱特征与脑力疲劳之间的关系，寻找脑力疲劳程度评价的客观指标。
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