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    Method of overnight closed-loop insulin delivery with model predictive control and glucose measurement error model
    4.
    发明授权
    Method of overnight closed-loop insulin delivery with model predictive control and glucose measurement error model 有权
    使用模型预测控制和葡萄糖测量误差模型的过夜闭环胰岛素递送方法

    公开(公告)号：US08585637B2

    公开(公告)日：2013-11-19

    申请号：US13240855

    申请日：2011-09-22

    申请人： Malgorzata E. Wilinska ,  Erwin S. Budiman ,  Gary A. Hayter ,  Marc B. Taub ,  Roman Hovorka

    发明人： Malgorzata E. Wilinska ,  Erwin S. Budiman ,  Gary A. Hayter ,  Marc B. Taub ,  Roman Hovorka

    IPC分类号： A61M5/14

    CPC分类号： A61M5/1723 ,  A61B5/14532 ,  A61B5/1495 ,  A61M5/142 ,  A61M2005/14208 ,  A61M2005/14292 ,  A61M2005/14296 ,  A61M2205/50 ,  A61M2205/52 ,  A61M2205/70 ,  A61M2230/201 ,  G06F19/00 ,  G06F19/3468

    摘要： A closed-loop method 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.

    摘要翻译： 胰岛素输注过夜的闭环方法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。

    Closed Loop Control And Signal Attenuation Detection
    7.
    发明申请
    Closed Loop Control And Signal Attenuation Detection 有权
    闭环控制和信号衰减检测

    公开(公告)号：US20100057057A1

    公开(公告)日：2010-03-04

    申请号：US12202304

    申请日：2008-08-31

    申请人： Gary Hayter ,  Erwin S. Budiman

    发明人： Gary Hayter ,  Erwin S. Budiman

    IPC分类号： A61M1/00 ,  A61B5/145

    CPC分类号： A61M5/1723 ,  A61B5/0031 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/1495 ,  A61B5/4839 ,  A61M5/142 ,  A61M2205/18 ,  A61M2205/3303 ,  A61M2205/3507 ,  A61M2205/50 ,  A61M2205/581 ,  A61M2205/582 ,  A61M2205/583 ,  A61M2205/702 ,  A61M2230/201

    摘要： Methods, system and devices for monitoring a plurality of parameters associated with a closed loop control operation including continuously monitoring a physiological condition and automatic administration of a medication, detecting a signal level associated with the monitored physiological condition deviating from a predetermined threshold level, retrieving the medication level administered associated with a time period of the detected signal level, applying the retrieved medication level to the detected signal based on a predefined predictive model to generate a predictive signal, and comparing the detected signal to the predictive signal to determine whether a condition associated with the detected signal level is present are provided.

    摘要翻译： 用于监测与闭环控制操作相关联的多个参数的方法，系统和装置，包括连续监测生理状况和药物的自动施用，检测与偏离预定阈值水平的所监视的生理条件相关联的信号水平， 与检测到的信号电平的时间段相关联的药物水平，基于预定义的预测模型将检测到的药物水平应用于检测到的信号，以产生预测信号，以及将检测到的信号与预测信号进行比较，以确定是否相关联的条件 提供检测到的信号电平。