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In ultrasound-guided interscalene block, do we know where the epineurium is?

在超声引导下行斜角肌间神经阻滞,我们知道哪里是神经外膜吗?

Objective To observe the histological changes ot epimysium-reconstructed epineurium and investigate its role in the regeneration of the injured nerves.

目的观察带蒂肌外膜瓣转位重建神经外膜后的组织学改变及其对损伤段神经再生的作用。

The histological changes of the epimysium-reconstructed epineurium was similar to the intact epineurium.

结论肌外膜瓣重建神经外膜后其组织学改变与神经外膜极为相似,为临床应用提供了实验室依据。

They were connected with fibrin binder in the first group,the epineurium were adhered with ZT gum in the second group.thread of 90 was used in the suture of the epineurium routinely in the third group.

将45只大白鼠随机分为三组,切断右侧坐骨神经,第一组用纤维蛋白粘合剂吻接,第二组用ZT胶行神经外膜粘接,第三组用9~0针线行常规神经外膜缝合。

Acellular Extracellular Matrixis three dimensional mesh stent which mainly composed by vessel of basilar membrane and coated by epineurium. As a bioactive nerve graft,it own natural construction,lower immunogenicity.

脱细胞神经细胞外基质材料是以SC基底膜管为主、以神经外膜为外套的完整的三维网状支架;它作为有生物活性的神经替代物,具有良好的仿生性,较低的免疫原性。

Results There was no obvious change in the ulstrasonographic characteristics and the pathology of the control group.The diameters,internal echo,the continuity of internal linear echo and epineurium changed correpondingly with time of compression in different model groups.

结果声像图表现:对照组与卡压前正常神经未见明显改变,各卡压组高频超声下均可观察到相应声像图变化,随卡压时间的延长,卡压两端内径逐渐增粗,内部回声逐渐减低,内部线性回声连续性差,神经外膜逐渐增厚。

The stability of the network is given by the state equation of the network.

根据动态前向神经网络的状态方程,本文给出该神经网络的稳定条件。

On the basis of energy function, the stability and convergence of the proposed neural network are analyzed, which guarantee the global stability of the equilibrium point of neural network.

此外,利用能量函数对神经网络的稳定性和收敛性进行了分析,进而保证所提出的神经网络具有全局稳定性。

Notice that the solvng ELP problem is equivalent to determine a nonlinear mapping,using the nature that BP neural networks has the parallelism and the capabilities of intrinsic nonlinear mapping,we propose a methods of using back error propagation of ne...

而求解线性规划问题的许多有效方法如单纯形法,Karmarkar's方法等却无法直接用于推广的线性规划问题的求解,注意到推广的线性规划问题等价于一个非线性映射,利用BP神经网络的本质并行性和高度非线性处理能力,该文提出了一类求解推广的线性规划问题的BP神经网络方法,它具有网络构建简单,求解精度高,计算量小等优点,实验结果表明其高效性。

The expressions of polynomial and neural network are used to approximate angular error, it is demonstrated that the variance error by using neural network is smaller, which raises a higher request on the performance of the computer.

本文研究了误差模型的存贮方式问题,对于误差拟合采用了多项式法和神经网络方法,神经网络法的逼近程度高,但对计算机的性能要求也高。

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