Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review

The reliable and effective automation of biomedical therapies is the need hour for medical professionals. A model predictive controller (MPC) has ability to handle complex dynamic systems involving multiple inputs/outputs, such as systems. This article firstly presents a literature review MPCs followed by survey research reporting MPC-enabled some therapies. includes their evolution, architectures, methodologies, advantages, limitations, categories implementation software. conditions (and applications MPC in associated therapies) type 1 diabetes (including artificial pancreas), anaesthesia, fibromyalgia, HIV, oncolytic viral treatment (for cancer) hyperthermia cancer). Closed-loop hybrid cyber-physical healthcare MPC-led automated anaesthesia have been discussed relatively greater detail. study finds that much more attention required reduce workload personnel. In particular, many investigations are explore MPC-based (cancer) fibromyalgia