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sdnn

  • 网络窦性心搏间标准差
sdnnsdnn
  1. SDNN after exercise is decreased , exercise is an important factor influencing HRV ;

    运动是影响心率变异性的重要因素;

  2. Conclusion Results suggest that after exercise , SDNN decreased , but SDS1 increased ;

    结论运动后心率变异性减小,而心力变异性增高;

  3. Results The SDNN and the frequency of P.V.C.existed obvious correlatively .

    结果SDNN值和室早发生频次存在明显的昼夜节奏变化和相关性。

  4. There were significant day-night cycles and correlation in SDNN and the number of VPBs .

    SDNN与冠心病室性早博频次存在明显的昼夜节奏变化和相关性。

  5. Considering the complexity and the time variability of industrial process , an adaptive Supervised Distributed Neural Networks ( SDNN ) is proposed for modeling of industrial process .

    针对工业生产过程的复杂性和时变性,提出一种用于工业生产过程建模的自适应监督式分布神经网络(SDNN)。

  6. Methods HRV ( SDNN ), Q T and VLP in 40 cases of AMI were detected and analysed in contrast with 40 normal subjects .

    方法40例AMI患者HRV(SDNN)、Q-T、VLP测定,与40例正常人进行对比分析。

  7. An integrated model combining linear regress ( LR ) and supervised distributed neural networks ( SDNN ) based on the features of coke oven flue temperature is proposed .

    在分析焦炉立火道温度特性的基础上,提出了一种基于线性回归(LR)和监督式分布神经网络(SDNN)的立火道温度智能集成软测量方法。

  8. At the same time , after supervised clustering the samples , SDNN models are employed to synthesize the outputs of ( every ) sub - ( network ) .

    然后在对样本监督式聚类后,利用SDNN获得各个子网的综合输出;

  9. In patient with SDNN < 50 ms , the incidence of the severe neurological deficit and the mortality were significantly higher than that in patients with SDNN > 50 ms.

    在SDNN<50ms组,重型神经功能缺损发生率及死亡率明显多于SDNN>50ms组(P<001)。

  10. The indexes ( SDNN , SDANN ) of the HRV in patients with whole CHF were significantly lower than those in patients with left or right CHF ( P < 0.05 or 0.01 ) .

    与左、右心衰组比较,全心衰组HRV(SDNN,SDANN)降低(P<0.05或0.01)。

  11. Firstly , under normal production conditions ( or on the complete data section ), a supervised distributed neural networks ( SDNN ) is established by fuzzy classification / combination and the description method of different neural networks ( NN ) on different subspace ;

    该模型综合了机理与多种智能建模方法的优点,对于正常生产情况(即数据完备区),通过模糊分类/组合以及神经网络NN分段描述方法建立了成分预测的监督式分布神经网络模型;

  12. [ Method ] Of the 32 patient with continual atrial fibrillation , the index of heart rate variability ( SDNN ; SDANN ; RMSSD and HRV triangular index ) were analysed on the basis of Holter monitor .

    方法在动态心电图的基础上测量分析32例持续性心房颤动患者的心率变异性指标(SDNN;SDANN;RMSSD和HRV三角指数)的改变。