Biomedical engineering encompasses the application of diverse engineering principles in the fields of medicine and biology, with the primary goal of improving healthcare outcomes and enhancing patients’ quality of life. The cardiac pacemaker is a frequently used implantable medical electronic device employed in managing and treating heart rhythm disorders, with the primary aim of improving healthcare outcomes. The advancement of innovative heart stimulation techniques for pacemakers is essential in ensuring the well-being and safety of patients. Within this field, there is significant focus on refining reliable and optimized techniques for simulating heart electroactivity. The current research is directed towards improving the design of control systems responsible for efficiently regulating pacemaker heart rates. In this proposed approach, controller performance is bolstered through a performance enhancement loop, achieved by introducing a novel Particle Swarm Optimization (PSO)-based Proportional – Integral – Derivative (PID) Controller tailored for Cardiac Pacemaker Systems. Simulation experiments were carried out using a human cardiovascular system model, demonstrating that the proposed PSO-based PID Controller exhibits superior control performance compared to traditional PID controllers. These simulations were conducted using MATLAB/ Simulink.

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Robust Control Design of a Novel PSO Based PID Controller for Cardiac Pacemaker System

  • Phong Thanh Tran,
  • Pham Thi Thu Hien,
  • Thanh-Qua Nguyen

摘要

Biomedical engineering encompasses the application of diverse engineering principles in the fields of medicine and biology, with the primary goal of improving healthcare outcomes and enhancing patients’ quality of life. The cardiac pacemaker is a frequently used implantable medical electronic device employed in managing and treating heart rhythm disorders, with the primary aim of improving healthcare outcomes. The advancement of innovative heart stimulation techniques for pacemakers is essential in ensuring the well-being and safety of patients. Within this field, there is significant focus on refining reliable and optimized techniques for simulating heart electroactivity. The current research is directed towards improving the design of control systems responsible for efficiently regulating pacemaker heart rates. In this proposed approach, controller performance is bolstered through a performance enhancement loop, achieved by introducing a novel Particle Swarm Optimization (PSO)-based Proportional – Integral – Derivative (PID) Controller tailored for Cardiac Pacemaker Systems. Simulation experiments were carried out using a human cardiovascular system model, demonstrating that the proposed PSO-based PID Controller exhibits superior control performance compared to traditional PID controllers. These simulations were conducted using MATLAB/ Simulink.