Neuro-PID adaptive control scheme for blood pressure regulation

Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient´s sensitivity to the drugs varies from patient to patient. Therefore, the implementation of adaptive controller is very essential to improve the patient care in order to reduce the workload of healthcare staff and costs. This paper presents the design and implementation of a Proportional Integral Derivative controller (PID) using neural network based parameter tuning mechanism to regulate mean arterial pressure and cardiac output (CO) by administering vasoactive and inotropic drugs that are sodium nitroprusside (SNP) and dopamine (DPM) respectively. The parameters of PID controller were optimised offline using Simulink Response Optimization tool. The proposed Neuro-PID controller has been implemented, tested and verified to demonstrate its merits and capabilities as compared to the existing approaches to cover wide range of patients.