Affiliation:
1. Mechanical Engineering Department, Thapar University, Patiala, India
Abstract
The control of cardiovascular system by autonomic nervous system using model-based analysis is very useful to predict blood flow and blood pressure at different locations of human body. The regulation of cardiovascular system by autonomic nervous system is a very complex mechanism, so, an experimental-based model analysis may prove very helpful in studying and analysing its working properly. In this article, a very basic model of cardiovascular system is presented with blood pressure dynamics studied throughout the body. A new bond graph model of the autonomic nervous system embedded with baroreflex system is also presented. Autonomic regulation of ventricular contractility is represented by means of transfer functions. The results in terms of maximum ventricular elastance ([Formula: see text]) and end systolic pressure are shown for two experiments. Another alternative modelling approach to represent the function of nervous system action in blood pressure regulation in terms of an overwhelming controller has been proposed. This controller overwhelms the system properties and therefore helps in managing the unmodelled parts or properties of a system and makes it impeccable for controlling complex systems. All the results and simulations are obtained using Symbols Shakti® software (Bond graph software).
Subject
Mechanical Engineering,Control and Systems Engineering
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A review of the diverse applications of bond graphs in biology and physiology;Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;2024-07
2. Bond graph modeling and multi-body dynamics of a twin rotor system;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2020-02-12
3. A Model-based Method for Measuring Autonomic Nerve Activity and Sensitivity;Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering;2019-11-13