Name of the Indian Collaborators: Dr.Thushara Madathil (Assistant Professor), Department of Cardiac Anesthesiology, AIMS, Kochi
Intravenous infusion pumps are used in hospitals to deliver medicines such as antibiotics, insulin, hormones, and certain nutrients. Infusion pumps are designed to deliver a preset infusion to the patient. Doctors or nurses usually set the infusion rate for one hour, and a constant amount of medicine is delivered during that period. However, a patient’s response to this preset rate may vary depending upon their demographics, diseases, and surgery which is subsequently reflected in patient vitals. Hence, we propose an AI-enhanced Model Predictive Control (MPC) optimization technique customized for a personalized closed-loop drug-vital feedback system. The system is integrated into a custom-made infusion pump, whose syringe plunger movements are controlled using stepper motor algorithms that are directed by the AI-MPC output.
Publication Details
V. S. Nair, R. K. Pathinarupothi, R. P and T. Madathil, “Personalized Algorithms and Techniques for Development of a Smart Infusion Pump for ICU,” 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-7, doi: 10.1109/I2CT57861.2023.10126150.
Proposal
Inspire Proposal – Towards Precision Dosing: AI – Enhanced Model Predictive Control Closed Loop Infusion Pump for ICUs
Proposed Future Work
Drug-vital feedback system using complex digital twin model
Drug-drug interaction study on critical sepsis patients supported with multiple infusion pumps
