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运用随机系统识别技术连续测量心输出量。

Continuous measurement of cardiac output with the use of stochastic system identification techniques.

作者信息

Yelderman M

机构信息

InterFlo Medical, Plano, TX 75074.

出版信息

J Clin Monit. 1990 Oct;6(4):322-32. doi: 10.1007/BF02842492.

Abstract

The limitations of developing a technique to measure cardiac output continuously are given. Logical explanations are provided for the economic, technical, and physiologic benefits of a stochastic system identification technique for measuring cardiac output. Heat is supplied by a catheter-mounted filament driven according to a pseudorandom binary sequence. Volumetric fluid flow is derived by a cross-correlation algorithm written in the C language. In vitro validation is performed with water in a flow bench. The computed flow (y) compared with the in-line-measured flow (x) yields the linear regression y = 1.024x - 0.157 (r = 0.99). The average coefficient of variation is less than 2% over a volumetric fluid flow range of 2 to 10 L/min.

摘要

文中给出了开发一种连续测量心输出量技术的局限性。针对用于测量心输出量的随机系统识别技术在经济、技术和生理方面的优势给出了合理的解释。热量由根据伪随机二进制序列驱动的导管安装细丝提供。体积流体流量通过用C语言编写的互相关算法得出。在流动试验台上用水进行体外验证。将计算得到的流量(y)与在线测量的流量(x)进行比较,得到线性回归方程y = 1.024x - 0.157(r = 0.99)。在2至10 L/分钟的体积流体流量范围内,平均变异系数小于2%。

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