Alvarez Picaza Carlos¹*, Piacenza Ángel Esteban², Schlesinger Paola Luciana¹ and Chiozza Juan Ángel¹

¹College of Exact Sciences – National University of the Northeast
²College of Medicine - National University of the Northeast cpicaza@gmail.com

*Corresponding Author: Alvarez Picaza Carlos, College of Exact Sciences – National University of the Northeast.

Received: December 22, 2022; Published: February 13, 2024

Abstract

We present an alternative analysis of the stability of the cardiac system using Control Engineering tools. We will seek to determine the Lyapunov Function, which is a parameter that indicates the degree of stability of a dynamic system. The model presented in this work is designed in the state space. Elements of Applied Mathematics such as equations of state, transfer function and the dynamic response related to physiological systems will be used to find indicators and factors that from Biomedical Engineering will contribute to the understanding of cardiovascular functionality. The controlling action that is sought will determine in the system a convergence to an equilibrium point before the start of each heartbeat. Usually the variables that intervene in the pulsations of the heart are not keeping in mind, but if they are not regulated, the work required of the heart is excessive. The energy invested in activating the cardiac wall in both hypertensive patients and those with normal blood pressure is related to the control action required to avoid instabilities. The results achieved by the use of this new application have been to find a shorter path from one state to another, ensuring greater stability and lower energy expenditure.

 Keywords: Stability; Servomotor; Modeling

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Citation

Citation: Alvarez Picaza Carlos., et al. “Stability Control Applied to the Cardiovascular System. Analysis of its Internal Dynamics”.Acta Scientific Medical Sciences 8.3 (2024): 176-184.

Copyright

Copyright: © 2024 Alvarez Picaza Carlos., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.