1)  electroencephalic respronse
脑电反应
2)  average electroencephalic response
平均脑电反应
3)  electroencephalogram
脑电
1.
Effect on Electroencephalogram in Cerebral Cortex of Epileptic Rat Induced by IL-1β or IL-6;
IL-1β或IL-6致痫对大鼠脑电的影响
2.
Multi-channel electroencephalogram(EEG) power spectrum is extracted for training continuous hidden Markov model(CHMM),and a novel approach to classify the mental fatigue levels is proposed based on power spectrum-CHMM.
提取多通道脑电(EEG)功率谱特征,训练连续高斯密度混合隐马尔科夫模型(CHMM),建立了基于功率谱-CHMM的精神疲劳分级模型。
3.
The relation between scalp activity and cardiac automatic nervous system during a mental arithmetic(MA) task is explored with the power spectrum of electroencephalogram(EEG) and heart rate variability.
通过对数学运算任务中头皮脑电信号和心率变异性的功率谱分析,研究了头皮脑电活动和心脏自主神经活动的关系。
4)  EEG
脑电
1.
A Comparative Evaluation of Nonlinear Characteristics of EEG for Alcoholic and Normal People;
醉酒者脑电和正常脑电非线性特性的比较评估
2.
EEG Study on Transcutaneous Electrical Acupoint Stimulation as a Fatigue Countermeasure.;
经皮穴位电刺激改善疲劳的脑电研究
5)  electroencephalogram(EEG)
脑电
1.
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。
2.
To investigate the characters of the electroencephalogram(EEG) for fatigued drivers,the situation of fatigue driving was simulated using a car simulator,the EEG for the driver was recorded by an EEG recording instrument,and the EEG data and waves obtained.
研究疲劳驾驶时的脑电特性。
3.
This platform applies the patient s motor imagery electroencephalogram(EEG) as the control signal in order to combine motor imagery with recovery training of motion function.
该平台采用患者在想象运动时的脑电信号作为虚拟人运动的控制信号,从而把想象运动与运动功能恢复训练结合在一起。
6)  electroencephalography
脑电
1.
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。
2.
Functions of nonlinear parameters, computed from electroencephalography (EEG) signals, in mental tasks classification were investigated, where the largest Lyapunov exponent, the mean period of trajectories and the average initial distance between neighboring trajectories were taken as the nonlinear parameters, and Fisher s linear discriminant was adopted as the classifier.
研究了非线性参数作为脑电(EEG)信号特征时对意识任务分类的作用,使用的3种非线性参数特征为最大Lyapunov指数、轨道平均周期和轨道平均初始距离,分类方法为Fisher线性判别式。
参考词条
补充资料:脑内电磁场产生器(intracephalicgeneratorofelectromagneticfield)
脑内电磁场产生器(intracephalicgeneratorofelectromagneticfield)

常用的是电流偶极子源模型。在大脑皮质层(主要是沟、回面)上的一群锥体神经元(功能柱),在兴奋或抑制地具有一定取向和充分长度的树突放电可能形成有效的电流偶极子,只要面积不太大,可看作一等效偶极子源,它在头皮上形成的电位分布即实验测到的脑电位分布。电磁场是相伴产生的,测得的脑电图EEG与脑磁图MEG正是相互对应的。建立头颅的模型用物理、数学模型作精确计算,可以对脑内发生器定位。这还涉及到多偶极子模型计算和均匀球模型或非均匀球模型及多层头皮模型的计算等。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。