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    • 4. 发明申请
    • INTEGRATED CLOSED-LOOP MEDICATION DELIVERY WITH ERROR MODEL AND SAFETY CHECK
    • 综合封闭环路交付与错误模型和安全检查
    • US20140081236A1
    • 2014-03-20
    • US14083336
    • 2013-11-18
    • Cambridge Enterprise LimitedAbbott Diabetes Care Inc.
    • Malgorzata E. WilinskaErwin S. BudimanGary A. HayterMarc B. TaubRoman Hovorka
    • A61M5/172
    • A61M5/1723A61B5/14532A61B5/1495A61M5/142A61M2005/14208A61M2005/14292A61M2005/14296A61M2205/50A61M2205/52A61M2205/70A61M2230/201G06F19/00G06F19/3468
    • 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.
    • 用于胰岛素输注的闭环系​​统使用模型预测控制算法(“MPC”)。 与MPC一起使用的是葡萄糖测量误差模型,该误差模型来自实际的葡萄糖传感器误差数据。 该传感器误差数据包括传感器伪像分量,包括丢失,以及包括校准误差在内的持续误差分量,所有这些均由实验受试者实验获得。 MPC算法建议胰岛素输注每十五分钟。 通过将模型计算的无噪声间质葡萄糖与与FreeStyleNavigator®连续葡萄糖监测系统(“FSN”)相关的实验衍生的瞬时和持续传感器伪像组合,可以获得传感器葡萄糖输入到MPC。 在使用葡萄糖测量误差模型的MPC算法模拟过夜闭环控制期间,严重和显着低血糖的发生率分别降低了2300和200倍,表明连续葡萄糖监测技术有助于安全闭环胰岛素输送。