Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model

IF 4.9 2区 医学 Q1 ENGINEERING, BIOMEDICAL
R. Carbó , E. Rodriguez , J. Alvarez-Ramirez
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引用次数: 0

Abstract

The automatic regulation problem of the mean arterial pressure (MAP) was considered in this work. In a first step, a two-compartment cardiovascular system model endowed with a baroreflex-feedback scheme was developed. The cardiac output was proposed as the regulated output of the baroreflex, and the MAP was left as an internal variable that can vary without regulation. In this way, significant mean arterial pressure levels can be achieved as a response to, e.g., increased peripheral resistance. It was shown that hypertension cannot be regulated by variations of the heart rhythm, being essentially a peripheral problem. In a second step, a three-compartment model of drug infusion dynamics was developed to propose a scheme for automatic MAP regulation. The resulting system couples the cardiovascular dynamics to the MAP pressure, and numerical simulations showed that a simple integral compensation scheme sufficed to regulate both the cardiac output and the MAP at prescribed values despite disturbances. The results of this work provided some insights into the dynamics of the MAP resulting from the cardiovascular system and the viability of simple compensators to regulate the system operation.
基于压力反射-反馈心血管模型的平均动脉压自动控制
研究了平均动脉压(MAP)的自动调节问题。首先,建立了一种具有反射反馈机制的双室心血管系统模型。心输出量被认为是压力反射的调节输出量,而MAP被认为是一个内部变量,可以不受调节地变化。通过这种方式,可以达到显著的平均动脉压水平,作为对外周阻力增加等的反应。研究表明,高血压不能通过心律的变化来调节,本质上是一个外周问题。第二步,建立药物输注动力学的三室模型,提出MAP自动调节方案。该系统将心血管动力学与MAP压力耦合在一起,数值模拟表明,简单的积分补偿方案足以在干扰下将心输出量和MAP都调节到规定值。这项工作的结果为心血管系统产生的MAP动力学以及调节系统运行的简单补偿器的可行性提供了一些见解。
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来源期刊
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control 工程技术-工程:生物医学
CiteScore
9.80
自引率
13.70%
发文量
822
审稿时长
4 months
期刊介绍: Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.
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