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    OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL
    1.
    发明申请
    OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL 有权
    用模型预测控制和葡萄糖测量误差模型进行闭合闭环胰岛素分娩

    公开(公告)号：US20100280441A1

    公开(公告)日：2010-11-04

    申请号：US12751668

    申请日：2010-03-31

    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 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.

    摘要翻译： 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态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。

    Method of overnight closed-loop insulin delivery with model predictive control and glucose measurement error model
    2.
    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。

    METHOD OF OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL
    3.
    发明申请
    METHOD OF OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL 有权
    用模型预测控制和葡萄糖测量误差模型的闭合闭合胰岛素分娩方法

    公开(公告)号：US20120010600A1

    公开(公告)日：2012-01-12

    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： A61M5/00

    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。

    Overnight closed-loop insulin delivery with model predictive control and glucose measurement error model
    4.
    发明授权
    Overnight closed-loop insulin delivery with model predictive control and glucose measurement error model 有权
    过夜闭环胰岛素输送与模型预测控制和葡萄糖测量误差模型

    公开(公告)号：US08062249B2

    公开(公告)日：2011-11-22

    申请号：US12751668

    申请日：2010-03-31

    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 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.

    摘要翻译： 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。