首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model
【24h】

A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model

机译:一种新的大鼠中脑动脉闭塞模型心率变异的新梗塞检测方法

获取原文

摘要

Objective: The present study proposes a cerebral infarction detection algorithm based on heart rate variability (HRV). Methods: It has been reported that infarction affects HRV. Therefore, infarction could be detected at an acute stage by monitoring HRV. This study uses multivariate statistical process control (MSPC), which is a well-known anomaly monitoring method. HRV data shortly after infarction onsets are collected by using the middle cerebral artery occlusion (MCAO) model in rats. This study prepares 11 MCAO-operated rats and 11 sham-operated rats. Three sham-operated rats' data are used for model construction of MSPC, and the other 19 rats' data are used for its validation. Results: The sensitivity and specificity of the proposed algorithm were 82% and 75%, respectively. Conclusion: An infarction onset could be detected at an acute stage by monitoring HRV.
机译:目的:本研究提出了一种基于心率变异性(HRV)的脑梗死检测算法。方法:据报道,梗死会影响HRV。因此,可以通过监测HRV在急性阶段检测梗塞。本研究采用多元统计过程控制(MSPC),这是一种众所周知的异常监测方法。通过在大鼠中使用中脑动脉闭塞(MCAO)模型收集梗死垂直后不久的HRV数据。本研究准备了11名MCAO-MOCOUPT大鼠和11只假手术大鼠。三个假手术大鼠数据用于模型构造MSPC,另一个19只大鼠数据用于其验证。结果:所提出的算法的敏感性和特异性分别为82%和75%。结论:通过监测HRV可以在急性阶段检测梗死发作。

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