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在二氧化碳过多时的大脑自动调节的非平稳多元建模。

Nonstationary multivariate modeling of cerebral autoregulation during hypercapnia.

机构信息

Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus.

Department of Physical Medicine and Rehabilitation, Faculty of Medicine, University of Calgary, AB, Canada.

出版信息

Med Eng Phys. 2014 May;36(5):592-600. doi: 10.1016/j.medengphy.2013.10.011. Epub 2013 Dec 2.

Abstract

We examined the time-varying characteristics of cerebral autoregulation and hemodynamics during a step hypercapnic stimulus by using recursively estimated multivariate (two-input) models which quantify the dynamic effects of mean arterial blood pressure (ABP) and end-tidal CO2 tension (PETCO2) on middle cerebral artery blood flow velocity (CBFV). Beat-to-beat values of ABP and CBFV, as well as breath-to-breath values of PETCO2 during baseline and sustained euoxic hypercapnia were obtained in 8 female subjects. The multiple-input, single-output models used were based on the Laguerre expansion technique, and their parameters were updated using recursive least squares with multiple forgetting factors. The results reveal the presence of nonstationarities that confirm previously reported effects of hypercapnia on autoregulation, i.e. a decrease in the MABP phase lead, and suggest that the incorporation of PETCO2 as an additional model input yields less time-varying estimates of dynamic pressure autoregulation obtained from single-input (ABP-CBFV) models.

摘要

我们使用递归估计的多变量(双输入)模型来检查在逐步高碳酸刺激期间脑自动调节和血液动力学的时变特征,该模型量化了平均动脉血压(ABP)和呼气末 CO2 张力(PETCO2)对大脑中动脉血流速度(CBFV)的动态影响。在 8 名女性受试者中,获得了基线和持续低氧高碳酸血症期间的 ABP 和 CBFV 的逐拍值以及 PETCO2 的逐拍值。使用的多输入单输出模型基于拉格朗日展开技术,并且使用具有多个遗忘因子的递归最小二乘法更新其参数。结果揭示了非平稳性的存在,这证实了先前报道的高碳酸血症对自动调节的影响,即 MABP 相位超前的降低,并表明将 PETCO2 作为附加模型输入可以减少从单输入(ABP-CBFV)模型获得的动态压力自动调节的时变估计。

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