首页> 外文会议>2018 IEEE Second International Conference on Data Stream Mining amp; Processing >Selection the “Saturated” Block from Interval System of Linear Algebraic Equations for Recurrent Laryngeal Nerve Identification
【24h】

Selection the “Saturated” Block from Interval System of Linear Algebraic Equations for Recurrent Laryngeal Nerve Identification

机译:从线性代数方程的区间系统中选择“饱和”块进行喉返神经识别

获取原文
获取原文并翻译 | 示例

摘要

The task of design a “saturated” experiment for measuring the characteristics of tissues in surgical wound in order to identify the recurrent laryngeal nerve (RLN) during operation on the neck organs considered in this paper. In this task, the method of selection a “saturated” block from an interval system of linear algebraic equations (ISLAE) is used, which allows to reduce the duration of surgical operation by decreasing the number of points for stimulation the surgical wound tissues to detect the RLN location and reduce the risk of its damage.
机译:设计一项旨在测量手术伤口组织特征的“饱和”实验的任务,以识别本文考虑的颈部器官手术过程中的喉返神经(RLN)。在此任务中,使用了从线性代数方程组(ISLAE)的间隔系统中选择“饱和”块的方法,该方法可通过减少刺激手术伤口组织检测的点数来减少手术时间RLN位置并降低其损坏的风险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号