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gravity frequency
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  重力频
     In this paper,the authors expounded the concept and theoretical basis of the equifrequency geoid,discussed the relation between the equi-frequency scold and the classic geoid,proposed a new method──gravitation or gravity frequency shift method──for determining geopotential differences and heisht differences,and probed the way to solve the geodetic boundary value problem by using the method of frequency--shift measurement.
     阐述了等频大地水准面的概念及其理论基础,讨论了等频大地水准面与经典大地水准面的关系,提出了测定位差和高程差的新方法──引力或重力频移法,探讨了利用频移观测法解边值问题求定地球外部重力位的途径。
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  “gravity frequency”译为未确定词的双语例句
     Soring the sleep stages of rat based on the gravity frequency and complexity measure
     基于重心频率和复杂度分析的大鼠睡眠分期比较
短句来源
     The gravity frequency (fg) and complexity of KC along with the analysis of Heart Rate Variability(HRV)are used for changes of EEG signals. Furthermore, the fatigue model's effects on EEG were studied in four aspects: 1. SD model's effectiveness on sleep stages;
     并在此基础上通过对脑电的线性及非线性分析结合心率变异性(Heart Rate Variability, HRV)频域分析分别定量描述了大鼠脑电信号的变化,进而从以下几个方面分析研究了睡眠剥夺疲劳对于大鼠脑电的影响:1.睡眠剥夺对于大鼠睡眠时相的影响;
短句来源
     In addition, considering the origin, the mechanism and the framework of the pulse signals, peak value, peak frequency, center of gravity (cg), gravity frequency of power spectrum, AR model parameter, the value of SER and Renyi entropy were extracted.
     并且根据脉搏信号的产生机理、性质,提取了功率谱峰值、功率谱重心及其频率,AR模型系数,SER值,Renyi信息量等多个特征量。
短句来源
     Only two sub-healthy personsare misjudged. The recognition accuracy of 80% was attained by using eg and gravity frequency of power spectrum as characteristics.
     功率谱重心和重心频率作为特征量也取得了80%的识别率,对AR模型系数的分类正确率也达到了76.7%,结果令人满意。
短句来源
     Method Cortical EEG and hippocampal potential were collected by implanted electrodes in freely moving rats. Algorithmic complexity (Kc), approximate entropy (ApEn), power spectral density (PSD) and gravity frequency of PSD of the potential waves were calculated.
     方法通过慢性埋植电极采集自由活动大鼠皮层脑电和海马电位 ,计算其算法复杂度Kc值、近似熵ApEn值 ,以及功率谱和功率谱重心频率。
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  相似匹配句对
     FREQUENCY
     生死频率
短句来源
     GRAVITY HIGH FREQUENCY DISTURBANCE AND OCCURRENCE OF EARTHQUAKE
     重力高频扰动与地震
短句来源
     The frequency response function of the gravity overload is derived.
     导出并分析了具有代表性的飞机重心过载的频率响应函数。
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     Biodegrading frequency of C.
     在四种菌株降解胆固醇的比较中,C.
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     wood gravity.
     木材容重;
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In this paper,the authors expounded the concept and theoretical basis of the equifrequency geoid,discussed the relation between the equi-frequency scold and the classic geoid,proposed a new method──gravitation or gravity frequency shift method──for determining geopotential differences and heisht differences,and probed the way to solve the geodetic boundary value problem by using the method of frequency--shift measurement.

阐述了等频大地水准面的概念及其理论基础,讨论了等频大地水准面与经典大地水准面的关系,提出了测定位差和高程差的新方法──引力或重力频移法,探讨了利用频移观测法解边值问题求定地球外部重力位的途径。

Objective To study the complexity and the power spectrum of cortical EEG and hippocampal potential in rats under waking and sleep states. Method Cortical EEG and hippocampal potential were collected by implanted electrodes in freely moving rats. Algorithmic complexity (Kc), approximate entropy (ApEn), power spectral density (PSD) and gravity frequency of PSD of the potential waves were calculated. Result The complexity of hippocampal potential was higher than that of cortical EEG under every state. The...

Objective To study the complexity and the power spectrum of cortical EEG and hippocampal potential in rats under waking and sleep states. Method Cortical EEG and hippocampal potential were collected by implanted electrodes in freely moving rats. Algorithmic complexity (Kc), approximate entropy (ApEn), power spectral density (PSD) and gravity frequency of PSD of the potential waves were calculated. Result The complexity of hippocampal potential was higher than that of cortical EEG under every state. The complexity of cortical EEG was lowest under the state of non rapid eye movement(NREM) sleep. The complexity of hippocampal potential was highest under waking state. The total power of both potentials in 0.5~30 Hz frequency band showed their highest values under NREM state. Conclusion The values of Kc and ApEn are closely related to the distributions of PSD. When there are evident peaks in PSD, the complexities of signals will decrease. The complexities may be used to distinguish the difference between cortical EEG and hippocampal potential, or large differences between the same kind of potentials under different behavioral states

目的分析大鼠皮层脑电和海马电位在觉醒和睡眠各期的复杂度和功率谱特性 ,以及两种电信号的复杂度值与功率谱分布之间的关系。方法通过慢性埋植电极采集自由活动大鼠皮层脑电和海马电位 ,计算其算法复杂度Kc值、近似熵ApEn值 ,以及功率谱和功率谱重心频率。 结果海马电位在任何时期的复杂度值都显著高于皮层电位 ;皮层电位的复杂度值在非快动眼 (NREM )睡眠期最小 ,海马电位的复杂度值在清醒期最大 ,两电位的总功率在NREM睡眠期最大。结论两种复杂度值Kc和ApEn与脑电功率谱的频率分布具有密切关系 ,功率谱中具有明显的高峰时 ,信号复杂度降低。复杂度指标可以区分大鼠皮层和海马电位之间的差别 ,以及同一电位在不同行为状态下的较大差别

AIM To compare the new methods which can be used fo r soring the stages of rat sleep. METHODS Cortical EEG and hippocampal potential(HP) were collected by implanted electrodes in freely moving rats. Gravity frequency (f g) and the complexities(Kc,C 1), were calculated. According to the characteristics of each stage and by studying the histogram of f g, Kc and C 1, the stages of rat sleep were distinguished. RESULTS The methods of f g, Kc and C 1 can distinguish the Waking, nonrapid eye movement(NREM)...

AIM To compare the new methods which can be used fo r soring the stages of rat sleep. METHODS Cortical EEG and hippocampal potential(HP) were collected by implanted electrodes in freely moving rats. Gravity frequency (f g) and the complexities(Kc,C 1), were calculated. According to the characteristics of each stage and by studying the histogram of f g, Kc and C 1, the stages of rat sleep were distinguished. RESULTS The methods of f g, Kc and C 1 can distinguish the Waking, nonrapid eye movement(NREM) and REM sleep well. Comparing the results of visual and our analysis, the rate of accordance is above 85%, and the analysis based on the complexity measure is more believable than that based on the f g. CONCLUSION The gravity frequency and the complexities of Kc,C 1 can be used to distinguish the different stages of rat sleep.

目的 研究能对大鼠睡眠进行准确快速分期的技术途径。方法 通过慢性埋置电极采集自由活动大鼠的皮层脑电和海马电位 ,原始信号经过去噪声重采样以后进行重心频率和复杂度分析 ,然后根据其分布直方图 ,结合睡眠各时相特点 ,对睡眠成分进行分析。结果 利用重心频率和复杂度分析可以很好的区分出大鼠清醒期 (Waking)、非快动眼(NREM )睡眠期和快动眼 (REM )睡眠期三种生理状态 ,与人工分析比较符合率达 85 %以上 ,并且后者的分期结果更为准确。结论 基于重心频率和复杂度分析的方法可以很好的对大鼠睡眠进行准确快速的分期

 
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