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短期血压和心率变异性的压力反射模型

A baroreflex model of short term blood pressure and heart rate variability.

作者信息

TenVoorde B J, Kingma R

机构信息

Dept. of Clinical Physics and Informatics, Vrije Universiteit, Amsterdam, The Netherlands.

出版信息

Stud Health Technol Inform. 2000;71:179-200.

Abstract

Parameters based on heart rate variability alone or on both heart rate and blood pressure variability (baroreflex sensitivity) are becoming increasingly clinical relevant. Nevertheless a complete insight in physiological mechanisms underlying these parameters is still lacking. A computer model may help to fill up some of the gaps. We present a model which consists of a simple beat-to-beat hemodynamic part (Starling heart and Windkessel) linked to a detailed continuous modelled neural control part. The intermediate between continuous and beat-to-beat part is an integral pulse frequency modulator (IPFM) acting as cardiac pacemaker. Input for the IPFM is a "sympathovagal" balance signal, with different dynamics for sympathetic and vagal branches. Low-frequency variability is supposed to arise from resonance of existing noise, while high-frequency variability (respiration) is assumed to enter the closed loop at the hemodynamic (blood pressure) site. Results of three studies have been used for validation: (1) spontaneous variability in heart rate and blood pressure (baroreflex transfer functions), (2) vagal blockade with atropine, (3) a modified Valsalva manoeuvre performed in normal and quadriplegic man. Steady state as well as dynamic properties of the model reasonably well fitted to these experimental data.

摘要

仅基于心率变异性或基于心率和血压变异性两者(压力反射敏感性)的参数在临床上正变得越来越重要。然而,对于这些参数背后的生理机制仍缺乏全面的了解。计算机模型可能有助于填补一些空白。我们提出了一个模型,它由一个简单的逐搏血流动力学部分(斯塔林心脏和Windkessel模型)与一个详细的连续建模神经控制部分相连组成。连续部分和逐搏部分之间的中间环节是一个作为心脏起搏器的积分脉冲频率调制器(IPFM)。IPFM的输入是一个“交感迷走神经”平衡信号,交感神经和迷走神经分支具有不同的动态特性。低频变异性被认为是由现有噪声的共振引起的,而高频变异性(呼吸)被假定在血流动力学(血压)部位进入闭环。三项研究的结果已用于验证:(1)心率和血压的自发变异性(压力反射传递函数),(2)用阿托品进行迷走神经阻滞,(3)在正常人和四肢瘫痪者中进行的改良瓦尔萨尔瓦动作。该模型的稳态以及动态特性与这些实验数据相当吻合。

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