Experimental results by analyzing sleep EEG show that the number of the pr...
对睡眠脑电的分析实验表明，主分量个数与脑电的复杂性正相关。
Objective To explore correlations between depressive symptoms and sleep EEG parameters.
目的调查抑郁症状与睡眠脑电图参数的相关性。
Objective to explore the correlations between depressive symptoms and parameters of Sleep EEG.
目的探索抑郁症状与睡眠脑电图参数的相关性。
Objective: To explore some characteristic of sleep EEG in patients with retardative depression.
目的探索阻滞性抑郁症的睡眠脑电图特征。
Conclusion The diagnosis of deprivation sleep EEG for epilepsy might be better than that of drug sleep.
结论剥夺睡眠脑电图诊断小儿癫痫优于药物睡眠脑电图。
The result shows that the sleep EEG series has the multifractal features as well as long range correlation.
计算结果表明，睡眠脑电序列具有长程相关性，而且是多重分形过程。
The main works of this dissertation are as follows:1. Several new characteristics of sleep EEG were analyzed.
本文的主要工作如下：1。分析了睡眠脑电信号的新特征。
Conclusion the sleep EEG may be very efficient in improving the obtained rate of epileptiform wave and further defining the seizure type.
结论睡眠脑电图对提高样放电的检出率和进一步明确癫发作类型有重要意义。
Methods it was estimated for Hamilton Depressive Rating Scale (HAMD) and the parameters of Sleep EEG in 18 patients with depression and 10 normal controls.
方法对18例抑郁症和10例正常人评定汉密尔顿抑郁评定量表(HAMD)和检测睡眠脑电图。
Methods:The routine EEG and sleep EEG were determined in 88 patients with epilepsy, simultaneously the relationship between clinic epilepsy and awakening EEG and sleep EEG was observed.
方法：通过88例小儿癫痫常规、睡眠脑电图检查，同时观察癫痫临床与清醒睡眠脑电图变化的联系。
The value of correlation dimension can reflect sleep stages after analyzing and simulating the sleep EEG, and then simulation forecast for NREM sleep stage was made which accorded with actual result.
以长程睡眠脑电数据分析和仿真为例，分析结果表明关联维的高低能够反映出睡眠的阶段，据此对非快速眼动睡眠期的仿真预测与实际结果相符。
It is called delta sleep because of the presence of high amplitude, low frequency delta waves that are seen to occur in the EEG.
这个阶段的脑电图以高幅低频的三角形delta波为主，所以被称为Delta睡眠。
EEG represents the electric activity of the neurons in human brain. It is used for studying the brain activity in different sleep stages.
EEG代表了大脑神经元活动的一种电信号，它一直是研究人在不同睡眠阶段大脑活动的重要工具。
Objective To compare the positive rate on diagnosis of children epilepsy with EEG of deprivation sleep and drug sleep.
目的对比分析剥夺睡眠脑电图与药物睡眠脑电图诊断小儿癫痫的阳性率。
To explore the value of electroencephalogram (EEG) after depriving sleep in the diagnosis of epilepsy.
目的探讨剥夺睡眠脑电图在小儿癫痫诊断中的价值。
Objective To describe characteristic of sleep electroencephalograph (EEG) in depressions with psychogenic anxiety.
目的探索精神焦虑性抑郁症的睡眠脑电图特征。
Conclusions: The EEG evoked by sleep for long time may increase positive rate of epilepsy.
结论：长时监测睡眠诱发脑电图可提高癫痫的诊断阳性率。
Objectives: To explore the value of sphenoidal electrodes with sleep deprivation EEG in diagnosing epilepsy.
目的：探讨蝶骨电极加剥夺睡眠脑电图对癫癎诊断的价值。
Results:The data and the figure show that the behavior react variant accord with the EEG in the brain status and the variant can measure disruptions of sleep.
结果：发现行为反应量与脑电图所反映的脑状态一致，且能反应睡眠过渡过程中脑状态的微小变化。
Methods: The EEG of 64 cases was described in natural sleep.
方法：对64例患者进行了自然睡眠的脑电图描记。
EEG sleep induction test can increase positive diagnostic rate.
脑电图睡眠诱发试验可提高本病确诊率。
Methods: EEG sleep inducing test was examined in routine EEG.
方法：在常规脑电图检查基础上加做睡眠诱发试验。
EEG signals have a large amount of physiology and pathology information, electrical activity of the brain plays a very important role in the field of the related disease of sleep and brain science.
脑电信号种包含大量的生理和病理信息，在睡眠相关疾患和脑科学研究中起着非常重要的作用。
The experiments, done on virtual EEG instrument, show that good results of sleep stage classification can be obtained by this method.
在采用虚拟仪器技术研制的虚拟式脑电图记录分析仪上进行了实验，结果表明，上述方法可以获得较好的睡眠分阶分析结果。
Conclusion: Sleep Deprivation Provocation Test can obviously elevate masculine rate on EEG of epic children.
结论：剥夺睡眠诱发试验能明显提高癫痫儿童脑电图阳性率。
In conclusion, the effects of sleep deprivation on brain cognition and EEG complexity are obvious and negative, which shows the importance of natural sleep.
故得出结论：睡眠剥夺对人的认知和脑电复杂性均产生了负向影响。因此，睡眠对维持大脑的功能具有重要作用。
The sleep is a kind of important physiological phenomenon, the electroencephalogram (EEG) is a very important tool for analyzing the sleep.
睡眠是一种重要的生理现象，脑电图(EEG)是研究睡眠的一个重要而有力的工具。
Wavelet entropy analysis shows that after sleep deprivation, compared with natural sleep, the 256 points WE of spontaneous EEG and the 32 points average WE of ERP evidently decreased.
小波熵分析结果表明，与正常睡眠组比较，睡眠剥夺组自发脑电的256点小波熵和事件相关电位的32点小波熵均值都显著降低。
Objective:To explore the value of electroencephalogram(EEG) after depriving sleep in the diagnosis of children epilepsy.
目的：探讨剥夺睡眠脑电图在小儿癫痫诊断中的应用价值。
Objective:To explore the value of electroencephalogram(EEG) after depriving sleep in the diagnosis of children epilepsy.
目的：探讨剥夺睡眠脑电图在小儿癫痫诊断中的应用价值。
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