Work

A Customized Artificial Pancreas System with Neural Network based Model Predictive Control for Type 1 Diabetic Rats

Year: 2022

Type: article

Abstract: Improvements in technology have allowed researchers to develop artificial pancreas systems (APS) that mimic glucose regulation function of a healthy pancreas. This study aims to develop a closed-loop APS to control blood glucose level (BGL) of diabetic rats in vivo. To this end, we developed a customized APS with a control algorithm based on model predictive control (MPC).

Source: Journal of Diabetes and Clinical Research

DOI: 10.33696/diabetes.4.049

Authors: Omer Batuhan Kirilmaz, Masoud Mahdavi, Hoo Sang Ko, H. Felix Lee, Sarah Park, Guim Kwon

Institutions: Southern Illinois University Edwardsville, Duke University

Language: English

Topic: Diabetes Management and Research

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4296041330