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PID Parameters Optimization Using Ant-Colony Algorithm for Human Heart Control

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This article aims to optimize metaheuristics for continuous variable problems often encountered in the engineering field and its application in the medical field for the resolution of heart disorders. The work, based on the model of Yanagihara, Noma, and Irisawa (YNI) consists of understanding and isolating the human cardiovascular system using a hydro-electromechanical (HEM) approach, we also include the methodology of optimization by colonies of ants (ACO) in order to control the heart. Then, different approaches to metaheuristic design are used following this perspective and the algorithms developed by MATLAB code are applied to a problem of regulation and control of the human heart perturbed by brain problems. For the desired electrical SA node, which means the desired flow by adapting the contraction of the ventricle and the atrium, the PID coefficients (Kp, Ki, Kd) are tuned using ACO by MATLAB code by acting on the hydro-electromechanic model In SIMULINK controlled by PID after applying the disturbance. The results of this experiment really present a good response after the application of perturbation to the cardiac system compared to our previous published articles which rely on the methodology of Ziegler–Nichols for the revelation of the parameters Proportional–Integral–Derivative for the PID controller.
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Ant Colony Optimization; Human Heart; Control and Regulation; Pacemaker; Sympathetic Nervous System; Brain; HEM

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