TY - GEN N2 - Type 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. DO - 10.6083/3f462593m DO - DOI AB - Type 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. T1 - Development of adaptive artificial pancreas systems for personalized glucose management DA - 2019 AU - Resalat, Navid L1 - https://digitalcollections.ohsu.edu/record/7575/files/resalat.navid.2019.pdf PB - Oregon Health and Science University PY - 2019 ID - 7575 L4 - https://digitalcollections.ohsu.edu/record/7575/files/resalat.navid.2019.pdf KW - Pancreas KW - model predictive control KW - artificial KW - insulin sensitivity adaptation KW - virtual patient population KW - type 1 diabetes KW - adaptive control TI - Development of adaptive artificial pancreas systems for personalized glucose management Y1 - 2019 L2 - https://digitalcollections.ohsu.edu/record/7575/files/resalat.navid.2019.pdf LK - https://digitalcollections.ohsu.edu/record/7575/files/resalat.navid.2019.pdf UR - https://digitalcollections.ohsu.edu/record/7575/files/resalat.navid.2019.pdf ER -