首页> 外文会议>2012 IEEE EMBS Conference on Biomedical Engineering and Sciences. >Mathematical frameworks to assess the dynamics of cerebral autoregulation
【24h】

Mathematical frameworks to assess the dynamics of cerebral autoregulation

机译:评估大脑自动调节动力学的数学框架

获取原文
获取原文并翻译 | 示例

摘要

This paper presents mathematical frameworks, with the purpose to identify the best approach for the assessment of dynamic cerebral autoregulation. The cerebral blood flow velocity (CBFV) was measured by transcranial Doppler (TCD) ultrasonograph and mean arterial blood pressure (MABP) was non-invasively measured using vascular unloading technique, in order to determine the status of autoregulation. The findings show that cerebral autoregulation is a non-stationary and non-linear system, thus linear transfer function analysis is not a valid technique for studying the relationship between CBFV and MABP. While wavelet based analyses have shown better performance for the extraction of spontaneous oscillation in the cerebral autoregulation system.
机译:本文提出了数学框架,目的是确定评估动态脑自动调节的最佳方法。通过经颅多普勒(TCD)超声检查仪测量脑血流速度(CBFV),并使用血管卸载技术以无创方式测量平均动脉血压(MABP),以确定自身调节的状态。研究结果表明,脑自动调节是一个不稳定的非线性系统,因此线性传递函数分析不是研究CBFV与MABP之间关系的有效技术。尽管基于小波的分析显示了在大脑自动调节系统中自发振荡提取的更好性能。

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