Overnight closed-loop insulin delivery with model predictive control and glucose measurement error model

US8062249B2 · kind B2 · utility

Assignees

• ABBOTT DIABETES CARE INC. · US
• Cambridge Enterprise Limited · GB

Inventors

• Malgorzata E. Wilinska · Cambridge, GB
• Erwin Satrya Budiman · Fremont, US
• Gary Alan Hayter · Oakland, US
• Marc B. Taub · North Hinksey, GB
• Roman Hovorka · Cambridge, GB

Key dates

• Filing date: Mar 31, 2010
• Grant date: Nov 22, 2011
• Expiry date: Mar 31, 2030

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61M2230/201
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A closed-loop system for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery.