1) time-dependent approximate entropy
时变近似熵
1.
Two estimating algorithms,time-dependent Tsallis entropy(E_(TsEn)) and time-dependent approximate entropy(E_(ApEn)),are provided to analyze the dynamic transformation of cognitive event-related potential complexity in Stroop tasks.
提供了两种分析认知事件相关电位(ERP)复杂度动态变化的估计算法———时变Tsallis熵(ETsEn)和时变近似熵(EApEn),并将其应用于分析Stroop任务中ERP的动态复杂度。
2) approximate entropy
近似熵
1.
A novel CHD diagnostic method based on approximate entropy classification;
一种基于近似熵特征分类的冠心病诊断方法
2.
Comparison of unconsciousness prediction probability with approximate entropy and bispectral index during sedation;
脑电近似熵与双频指数在意识消失时预测概率的比较
3.
The study of EEG approximate entropy in vascular dementia;
血管性痴呆脑电图近似熵的评估作用研究
3) ApEn
近似熵
1.
The Study of Stagnation of Liver-Qi Syndrome by the Parameter ApEn of Electroencephalogram Nonlinear Analysis;
肝气郁结证患者脑电非线性分析参数近似熵的研究
2.
By studying the change of ApEn for surface EMG signals during vibration strength training compared to that during non-vibration strength training, this paper arrives at a conclusion that fatigue appears more slowly during vibration strength training.
本文通过比较振动和非振动力量训练过程中表面肌电(sEMG)信号近似熵的变化规律,得出振动力量训练时机体更不容易疲劳的结论,为利用振动刺激恢复和提高肌肉力量提供了进一步的理论和实践依据。
3.
In order to study the relationship between the sensitivity of heart to isoprenaline and the Approximate Entropy(ApEn) of heart rate variability, ApEn of RRI (RR interval) in different conditions were analyzed.
在正常新西兰兔测得心搏间期近似熵较大 ,阿托品阻断后心搏间期近似熵下降的基础上 ,观察兔心脏在上述两种状态下对异丙肾上腺素反应的差距。
4) approximate entropy (ApEn)
近似熵
1.
approximate entropy (ApEn)and correlation dimension (D 2), were recorded during perioperative periods.
方法 20例患者随机均分为异丙酚8mg/(kg·h)组与 10mg/(kg·h)组,记录围术期近似熵与关联维数,常规监测BP、HR、SpO2。
2.
The EEG non-linear parameters including approximate entropy (ApEn) and correlation dimension (D 2 ) were recorded during operation periods.
记录围术期近似熵与关联维数。
3.
The variability of RR intervals (RRI) was analyzed using power spectrum and approximate entropy (ApEn).
采用功率谱和近似熵 (approximateentropy ,ApEn)的方法 ,分析清醒家兔在双侧迷走神经保留 ,右、左侧迷走神经切断以及双侧迷走神经同时切断时心搏间期 (RRI)的变化。
5) approximate entropy(ApEn)
近似熵
1.
In order to classify five different kinds of mental tasks,approximate entropy(ApEn),an index of complexity,is calculated from six channels EEG and serve as input feature vector to a neural network.
以近似熵为指标,分别计算6导脑电信号的复杂度,作为神经网络分类器的输入特征向量,对5种思维任务进行分类识别。
2.
The concept,main characteristic and the algorithm of approximate entropy(ApEn) are introduced firstly.
介绍了近似熵的概念、主要特点及其算法,提出了基于近似熵的特征提取方法,并且讨论了近似熵值计算中3个参数的选择原则,并对发动机声信号进行了分析处理。
3.
Methods The non-linear statistical method to measure the time series complexity-approximate entropy(ApEn) was used.
方法利用一种度量时间序列复杂性的非线性统计方法——近似熵(ApEn)方法。
6) HHT approximate entropy
HHT近似熵
补充资料：时变
1.四时季节的变化。 2.时世的变化。亦指时世变化的规律。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条