easi

The changes of EASI groups ratings and itching, adverse reaction of the score changes and recurrence were observed.

观察治疗前后各组的EAS工评分、瘙痒评分的变化、不良反应情况及复发情况。

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The result showed that abnormal change value of leaf photosynthetic rate as a forecast index of rust incidence was representative and had higher fit degree, and this method is reliable and practical to a certain extend and is easi to be adopted.

结果表明：以单叶光合速率的异常变化的大小作为小麦条锈病发生程度的指标具有宏观模糊性，有一定的代表性，本方法简单易行，拟合率较高，有一定的可靠性和实用性。

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On the basis of adopting the flexible control technology in buildings, in this paper, we brought forward a simplified model analysis method which could be easi-ly used in active control technology.

在对建筑物采用柔性技术的基础上，本文提出了一种与之相适应的模态控制分析方法。

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A New Step-size EASI Algorithm

一种新的步长等变化自适应算法

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Based on an analysis of EASI batch process algorithms for traditional blind source separation, a sliding window ICA algorithm is studied to deal with complex signals in the time variant mixing model.

通过对传统盲源分离批处理EASI算法的分析，针对时变信道中通信信号的复数形式，以平滑窗的形式实现了批处理算法在时变混合模型下的应用。

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Objective To estimate clinical significance of EASI 12-lead electrocardiographic monitoring system.

目的探讨EASI12导联心电监测系统的临床意义。

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Clinical application of EASI 12-lead electrocardiographic monitoring system

EASI12导联心电监测系统的临床应用

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Adaptive Step-size EASI Algorithm Based on Separating Degree

基于分离度的步长自适应EASI算法

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The study of the EASI leads derived 12 leads electrocardiogram

EASI3导联衍生的12导联心电图的应用研究

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In order to reduce computation complexity, sign function was applied to EASI algorithm to form a new algorithm, namely S-EASI.

为了降低算法的计算复杂性，将符号函数引进EASI算法中，产生了新的S-EASI算法。

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Methods 205 patients had been monitored with EASI 12-lead electrocardiographic monitoring system and 325 patients with conventional single lead electrocardiographic monitoring system for 24~ 72 hours in cardiac care unit.

方法对CCU病房的530例（EASI12导联监测系统监测205例、传统单导联监测系统监测325例）患者持续心电监测24～72h，并对监测结果进行比较分析。

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This paper proposes to use separating matrix to control the step-size of on-line blind source separation algorithms for the first time. After detailed analyzing relevant fixed step-size and variable step-size equivariant adaptive source separation via independent algorithms, the paper presents a new adaptive step-size EASI algorithm.

首次提出将分离矩阵用于对在线盲分离算法中步长自适应控制，并在认真分析相关固定步长和变步长EASI算法的基础上，将其加以运用，提出了一种新的步长自适应EASI算法。

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Symptoms in each group after treatment, and EASI score were improved compared with before treatment, with significant difference ( P0.05).

治疗后各组患者症状及EASI评分较疗前均有改善，具有显著性差异（P0.05）。

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An Improved Adaptive Step-size EASI Algorithm

一种改进的步长自适应EASI算法

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EASI two points of comparison,, t tests, treatment group and the control group there were significant differences ( p 0.05), drinking can significantly reduce the dehumidification eczema skin lesions in patients with EASI points, reducing the severity of eczema.

两组EASI积分比较，经t检验，治疗组和对照组有显著性差异（p0.05），除湿饮能明显降低湿疹患者皮损EASI积分，降低湿疹的严重度。

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This paper definites a measurement method to describe the signal separation state. After detailed analyzing relevant fixed step-size and variable step-size EASI algorithms, a new self-adaptive step-size EASI algorithm is presented.

定义了描述信号分离状态的一种测度，并在认真分析相关固定步长和变步长EASI算法的基础上，提出了一种新的步长自适应等变化自适应（EASI）算法。

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With the help of EASI and its extended algorithm as well as the knowledge of fault diagnosis, the mixed signal is seperated to get every source's spectrum.

将其运用到声学诊断中，对声混合信号进行频谱分离，得到各声源的特征频谱结构图。

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As EASI algorithm used in a fixed step, so it is not achieves the best combination of the convergence rate and the separated performance.

在自适应算法中，步长因子是十分重要的因素，它影响了算法的收敛速度和最终的稳态误差，由于EASI算法采用的是固定步长，故不能使收敛速度和分离性能达到最佳结合。

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