A Method for a Simulation of Continuous Intracranial Pressure Curves

Bernhard Schmidt , Jens Jürgen Schwarze , Marek Czosnyka , Dirk Sander , Ingo Wittich , Jürgen Klingelhöfer
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引用次数: 13

Abstract

The study introduces a method to simulate continuously an intracranial pressure (ICP) wave form. In a system analysis approach the intracranial compartment was viewed as a black box with arterial blood pressure (ABP) as an input signal and ICP as an output. A weight function was used to transform the ABP curve into the ICP curve. The output ICP waveform was generated using a weight function derived from the transcranial Doppler blood flow velocity (FV) and ABP curves. In order to establish the relationship between TCD characteristics and weight functions simultaneous recordings of FV, ABP, and ICP curves of a defined group of patients were used. A linear function between the TCD characteristics and the weight functions was obtained by calculating a series of multiple regression analyses. Given examples demonstrate the procedure's capabilities in predicting the mean ICP, the pulse and respiratory waveform modulations, and the trends of ICP changes.

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一种连续颅内压曲线的模拟方法
介绍了一种连续模拟颅内压(ICP)波形的方法。在系统分析方法中,颅内室被视为一个以动脉血压(ABP)为输入信号和ICP为输出信号的黑盒子。利用权函数将ABP曲线转化为ICP曲线。输出的ICP波形由经颅多普勒血流速度(FV)和ABP曲线的权重函数生成。为了建立TCD特征与权函数之间的关系,同时记录一组确定的患者的FV、ABP和ICP曲线。通过计算一系列的多元回归分析,得到了TCD特征与权函数之间的线性关系。给出的例子证明了该程序在预测平均ICP、脉搏和呼吸波形调制以及ICP变化趋势方面的能力。
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