000007575 001__ 7575
000007575 005__ 20231129124938.0
000007575 0247_ $$2DOI$$a10.6083/3f462593m
000007575 037__ $$aETD
000007575 245__ $$aDevelopment of adaptive artificial pancreas systems for personalized glucose management
000007575 260__ $$bOregon Health and Science University
000007575 269__ $$a2019
000007575 336__ $$aDissertation
000007575 502__ $$bPh.D.
000007575 520__ $$aType 1 diabetes (T1D) is a chronic disease where the pancreas does not produce sufficient insulin. Exogenous insulin is required to be delivered. Over delivery of insulin can cause hypoglycemia, which can cause coma or death if not treated. Under delivery can cause hyperglycemia; long-term exposure can cause chronic health problems including neuropathy, retinopathy, and limb loss. Model predictive control (MPC) is a state-of-the-art method for controlling glucose levels in people with T1D. There is currently not an adaptive MPC for single and dual-hormone AP control systems that can effectively handle exercise.
000007575 542__ $$fIn copyright - single owner
000007575 650__ $$aPancreas$$023506
000007575 6531_ $$amodel predictive control
000007575 6531_ $$aartificial
000007575 6531_ $$ainsulin sensitivity adaptation
000007575 6531_ $$avirtual patient population
000007575 6531_ $$atype 1 diabetes
000007575 6531_ $$aadaptive control
000007575 691__ $$aSchool of Medicine$$041369
000007575 692__ $$aDepartment of Biomedical Engineering$$041397
000007575 7001_ $$aResalat, Navid
000007575 8564_ $$9f49d45b6-e760-4f9c-be30-a346162ff55a$$s4424963$$uhttps://digitalcollections.ohsu.edu/record/7575/files/resalat.navid.2019.pdf
000007575 905__ $$a/rest/prod/3f/46/25/93/3f462593m
000007575 909CO $$ooai:digitalcollections.ohsu.edu:7575$$pstudent-work
000007575 980__ $$aTheses and Dissertations