apen

ApEn and Cross-ApEn : Property , Fast Algorithm and Preliminary Application to the Study of EEG and Cognition

近似熵、互近似熵的性质、快速算法及其在脑电与认知研究中的初步应用

The variations of the ApEn and the correlation dimension were calculated .

计算近似熵与相关维的变化。

We found activity in some cells called the ApEn cells .

其中活跃的细胞称为ApEn细胞。

Result Average ApEn reduced with the increase of mental fatigue level .

结果对于不同的脑疲劳状态，其脑电近似熵的平均值随着脑疲劳程度的增加而降低；

ApEn in different brain areas represents the activation of brain function with psychological task of different difficulty .

结果表明不同脑区的近似墒反映不同难度心理任务时大脑的激活程度，并有一定的定位作用，可以应用到神经心理研究中。

Approximate entropy ( ApEn ) is a new method as quantifying the complexity of spatial-temporal .

近似熵是一种用来量化时间序列复杂度的新方法。

Decay signal is divided into various categories via auto power spectral density function , different ApEn methods are proposed according to different signal patterns .

通过自功率谱密度函数对衰减信号进行分类，针对不同的信号模式提出不同的近似熵计算方法进行结构的损伤识别。

Conclusion ApEn as well as BIS is acceptable for predicting consciousness and unconsciousness produced by TCI propofol .

结论ApEn与BIS一样可有效地用于异丙酚TCI时意识反复消失-清醒的预测。

The statistical analysis result showed that EEG rhythm and emotional state can significantly affect the LZC and ApEn ( p0.05 ) .

相关统计分析表明脑电节律和情绪状态能够显著影响LZC和ApEn（p0.05）。

Unilateral vagotomy decreased ApEn , right vagotomy increased LF / HF ratio but left vagotomy did not ;

切断单侧迷走神经，ApEn变小，LF/HF比值在右侧迷走神经切断时增大，而切断左侧迷走时LF/HF比值无明显变化；

ResultsD_2 and ApEn increased significantly during mental tasks as compared to the rest state with eyes closed ( P < 0.01 ) .

结果认知作业过程相对于安静状态，D2和ApEn明显增高（P<0.01）；

From the aspect of neuromuscular system , an analysis of the internal physiological meaning of muscle fatigue , the change of ApEn in accordance with fatigue are given .

文章还从神经肌肉系统的角度阐述了肌肉疲劳及近似熵随疲劳而变的内在物理意义。

Under rest states , the averages of D_2 , PD_2 , Cx and ApEn at a lower level in different areas .

基础状态下，大脑各导联D2、PD2、Cx和ApEn波动在一个较低的水平。

D2 and ApEn of reduced significantly the group of cerebral infraction as compared to the group of natural comparison under eyes closed state ( P < 0.05 ) .

安静闭眼状态，脑梗塞组关联维数和近似熵低于正常对照组（P<0.05）。

In this article , the authors normalized approximate entropy ( ApEn ) and C0 complexity that were most suitable for complexity analysis of biomedical signals .

文章对在生物医学信号复杂度分析中最有潜在应用价值的近似熵和C0复杂度进行了归一化。

The experiment indicates the ApEn of EEG can measure the depth of anesthesia . The algorithm is simple enough and suitable to analyze the biomedical signal such as EEG .

实验表明脑电信号的近似熵在监测麻醉深度过程中能很好地反映全麻时的深浅程度，且具有算法简单等特点，特别适用于分析脑电等生物信号。

In this paper , a fast algorithm of dynamic Approximate Entropy ( ApEn ) is presented , which can describe the nonlinear characteristics of signals with limited data and shorten computing time greatly .

提出了一种动态近似熵的快速算法，只要较短数据就能表现信号的非线性特征，并大大缩短了计算时间。

Detection and Analysis of Brain Injury with APEN based Measure The HOC methods are shown to be effective in detecting hypoxic / asphyxic injuries as well as assessing the severity of the injury .

实验数据分析表明，基于HOC信号分析技术的脑损伤检测方法对于检测由于缺氧窒息而引起的中枢神经系统损伤及对损伤程度进行定量评估是十分有效的。

The heart rate ApEn of the athletes during supine control and early stage of LBNP testing was significantly lower ( P < 0.01 , P < 0.05 ) than that of the students before training .

中长跑运动员组在仰卧状态及LBNP作用初期，RR间期序列的ApEn值亦均显著低于大学生组有氧锻炼前的各相应值（P＜0.01，P＜0.05）。

In this approach , approximate entropy ( ApEn ) and norm entropy ( NoEn ) constituted feature vector , and neural network based classifiers were designed to identify radar emitter signals automatically .

将近似熵（ApEn）和范数熵（NoEn）构成特征向量，用神经网络分类器实现自动分类识别。

OBJECTIVE : To analyze the electric characteristics of EEG signal in the epileptic seizures in rat model by investigating the nonlinear dynamical variables , such as the approximate entropy ( ApEn ) and correlation dimension .

目的：探索应用非线性动力学指标近似熵和相关维，分析大鼠癫痫发作过程的整个脑电信号特征。

Integrated with intra operation memory test based on process dissociation procedure , the EEG derived parameters correlation dimension ( D 2 ) and approximate entropy ( ApEn ) nonlinear indexes were calculated simultaneously during the whole operation .

结合基于加工分离程序的手术中记忆测验，利用关联维数（D2）和近似熵（ApEn）非线性指数对所有患者进行了全程脑电实时监测。

A new statistical method to measure complexity of sequences is introduced in this paper Approximate Entropy ( ApEn ) . It was used to study sleep brain EEG . Approximate Entropy features were extracted at different stages of sleep .

主要介绍一种新的度量序列复杂性的统计方法&近似熵（ApEn），并将其应用于睡眠脑电的研究，提取出各睡眠期的近似熵特征。

With the method of ApEn , we calculated the ApEn of bifurcate data got from model of R-H. We found the ApEn of chaos is obviously higher than that of period 2 and 3 .

ISI复杂度的测量5.用R－H模型模拟分叉数据并进行复杂度计算，以近似嫡为检测方法，发现在周期二、三之间的混饨数据的复杂度明显高于周期节律数据。

The results showed that after a six-month aerobic training , heart rate ApEn significantly decreased ( P < 0.01 , P < 0.05 ) during both supine control and -6.67kPa/30min lower body negative pressure ( LBNP ) .

结果表明：6个月有氧锻炼引起大学生心率动力学一定改变，锻炼后在仰卧状态及LBNP作用下，其RR间期序列的ApEn值均较锻炼前显著降低（P＜0.01，P＜0.05）。

The Paper introduces two algorithms as a complexity measure . One is the algorithm defined by Kaspar and Schuster , the other is a recently developed statistic quantifying regularity and complexity & Approximate entropy ( ApEn ) .

介绍了两种度量序列复杂性的方法，一种是Kaspar和Schuster定义的复杂度算法，一种是最近新发展起来的度量序列复杂性的统计方法&近似熵（ApEn）。

Here introduced is an analysis of the approximate entropy ( Apen ) characteristics of EEG ( electroencephalogram ) of AD ( Alzheimer 's disease ) patients and healthy persons of the same age in order to find the special parameters .

运用非线性动力学分析方法对老年痴呆（AD）患者与同年龄正常人的脑电（EEG）近似熵进行分析。

MAIN OUTCOME MEASURES : In the four phases of the seizures , before seizures , preictal phase , ictal phase and postictal phases , the changes in the ApEn and correlation dimension were observed .

主要观察指标：未发作、发作前、发作中和发作后四个阶段近似熵与相关维的变化。

The EEG non-linear parameters : approximate entropy ( ApEn ) and correlation dimension ( D_ ( 2 )) were recorded perioperative periods . The BP , HR , SpO_ ( 2 ) were monitored routinely .

监测患者围术期的脑电非线性参数&近似熵（ApEn）及关联维数（D2），常规监测BP，HR，SpO2。

Objective To compare the unconsciousness prediction probability ( Pk ) estimated by approximate entropy ( ApEn ) and bispectral index ( BIS ) during the sedation produced by target-controlled infusion ( TCI ) of propofol .

目的比较脑电非线性参数近似熵（ApEn）和双频指数（BIS）在异丙酚靶控输注（TCI）镇静时意识消失的预测概率（Pk）。