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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
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。
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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
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。
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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
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。
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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
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。
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公开(公告)号：US20100317952A1
公开(公告)日：2010-12-16
申请号：US12784981
申请日：2010-05-21
申请人： Erwin S. Budiman , Gary A. Hayter , Marc B. Taub , Roman Hovorka , Malgorzata Wilinska , David Dunger
发明人： Erwin S. Budiman , Gary A. Hayter , Marc B. Taub , Roman Hovorka , Malgorzata Wilinska , David Dunger
IPC分类号： A61B5/145
CPC分类号： A61B5/7221 , A61B5/14532 , A61B5/4839 , A61B5/7264 , A61B5/7275 , A61B5/746 , A61M5/1723 , A61M2005/14296 , A61M2205/18 , A61M2205/3569 , A61M2205/52 , A61M2230/201 , G06F19/00 , G06F19/3418 , G06F19/3468 , G16H15/00 , G16H50/20 , G16H50/30 , G16H50/50
摘要： A system and method for reducing the number of hypoglycemic alarms presented to a user is presented. The system and methods include use of model based state estimation and variable-delayed threshold values to balance the risk of not presenting an alarm caused by an actual hypoglycemic state with the presentation of alarms caused by artifacts in the signals produced by a continuous glucose monitor.
摘要翻译： 提出了一种用于减少呈现给用户的低血糖警报数量的系统和方法。 该系统和方法包括使用基于模型的状态估计和可变延迟阈值来平衡由实际的低血糖状态引起的报警的风险与由连续葡萄糖监测器产生的信号中的伪像引起的警报的呈现。
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公开(公告)号：US09579456B2
公开(公告)日：2017-02-28
申请号：US12784981
申请日：2010-05-21
申请人： Erwin S. Budiman , Gary A. Hayter , Marc B. Taub , Roman Hovorka , Malgorzata Wilinska , David Dunger
发明人： Erwin S. Budiman , Gary A. Hayter , Marc B. Taub , Roman Hovorka , Malgorzata Wilinska , David Dunger
CPC分类号： A61B5/7221 , A61B5/14532 , A61B5/4839 , A61B5/7264 , A61B5/7275 , A61B5/746 , A61M5/1723 , A61M2005/14296 , A61M2205/18 , A61M2205/3569 , A61M2205/52 , A61M2230/201 , G06F19/00 , G06F19/3418 , G06F19/3468 , G16H15/00 , G16H50/20 , G16H50/30 , G16H50/50
摘要： A system and method for reducing the number of hypoglycemic alarms presented to a user is presented. The system and methods include use of model based state estimation and variable-delayed threshold values to balance the risk of not presenting an alarm caused by an actual hypoglycemic state with the presentation of alarms caused by artifacts in the signals produced by a continuous glucose monitor.
摘要翻译： 提出了一种用于减少呈现给用户的低血糖警报数量的系统和方法。 该系统和方法包括使用基于模型的状态估计和可变延迟阈值来平衡由实际的低血糖状态引起的报警的风险与由连续葡萄糖监测器产生的信号中的伪像引起的警报的呈现。
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公开(公告)号：US20110257627A1
公开(公告)日：2011-10-20
申请号：US13133335
申请日：2009-12-08
申请人： Roman Hovorka
发明人： Roman Hovorka
IPC分类号： A61M5/168
CPC分类号： A61B5/4839 , A61B5/14532 , A61M5/1723 , A61M2005/14208 , A61M2005/14296 , A61M2205/3569 , A61M2230/201 , G06F19/00 , G06F19/3468
摘要： Diabetes management apparatus comprising a sensor providing measurements of glucose level in a human or animal; an insulin pump for delivering a dose of insulin to said human or animal; and a processor. The processor is adapted to perform the following steps: receive said measurements of glucose level from said sensor; calculate a insulin dose to be delivered by said insulin pump based on said received measurement; assess the validity of the status of the apparatus; and send a command to said insulin pump to deliver said calculated insulin dose, dependent on said assessing step confirming that the status is valid. The insulin pump is configured to deliver a preset dose of insulin unless said processor sends a command to said insulin pump and wherein a said command sent to said insulin pump is valid only for a predetermined time interval so that if no further commands are sent to said insulin pump during said predetermined time interval, said insulin pump reverts to delivering said preset dose of insulin at the end of said predetermined time interval.
摘要翻译： 糖尿病管理装置，包括提供人或动物中葡萄糖水平测量的传感器; 用于向所述人或动物递送一定剂量的胰岛素的胰岛素泵; 和处理器。 处理器适于执行以下步骤：从所述传感器接收所述葡萄糖水平的测量值; 基于所述接收的测量计算由所述胰岛素泵输送的胰岛素剂量; 评估仪器状态的有效性; 并且发送命令到所述胰岛素泵以递送所述计算的胰岛素剂量，这取决于所述评估步骤确认状态是有效的。 胰岛素泵被配置为递送预设剂量的胰岛素，除非所述处理器向所述胰岛素泵发送命令，并且其中发送到所述胰岛素泵的所述命令仅在预定时间间隔内有效，使得如果没有进一步的命令被发送到所述胰岛素泵 胰岛素泵在所述预定时间间隔期间，所述胰岛素泵在所述预定时间间隔结束时恢复到递送所述预设剂量的胰岛素。
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公开(公告)号：US09089305B2
公开(公告)日：2015-07-28
申请号：US13133335
申请日：2009-12-08
申请人： Roman Hovorka
发明人： Roman Hovorka
CPC分类号： A61B5/4839 , A61B5/14532 , A61M5/1723 , A61M2005/14208 , A61M2005/14296 , A61M2205/3569 , A61M2230/201 , G06F19/00 , G06F19/3468
摘要： Diabetes management apparatus comprising a sensor providing measurements of glucose level in a human or animal; an insulin pump for delivering a dose of insulin to said human or animal; and a processor. The processor is adapted to perform the following steps: receive said measurements of glucose level from said sensor; calculate a insulin dose to be delivered by said insulin pump based on said received measurement; assess the validity of the status of the apparatus; and send a command to said insulin pump to deliver said calculated insulin dose, dependent on said assessing step confirming that the status is valid. The insulin pump is configured to deliver a preset dose of insulin unless said processor sends a command to said insulin pump and wherein a said command sent to said insulin pump is valid only for a predetermined time interval so that if no further commands are sent to said insulin pump during said predetermined time interval, said insulin pump reverts to delivering said preset dose of insulin at the end of said predetermined time interval.
摘要翻译： 糖尿病管理装置，包括提供人或动物中葡萄糖水平测量的传感器; 用于向所述人或动物递送一定剂量的胰岛素的胰岛素泵; 和处理器。 处理器适于执行以下步骤：从所述传感器接收所述葡萄糖水平的测量值; 基于所述接收的测量计算由所述胰岛素泵输送的胰岛素剂量; 评估仪器状态的有效性; 并且发送命令到所述胰岛素泵以递送所述计算的胰岛素剂量，这取决于所述评估步骤确认状态是有效的。 胰岛素泵被配置为递送预设剂量的胰岛素，除非所述处理器向所述胰岛素泵发送命令，并且其中发送到所述胰岛素泵的所述命令仅在预定时间间隔内有效，使得如果没有进一步的命令被发送到所述胰岛素泵 胰岛素泵在所述预定时间间隔期间，所述胰岛素泵在所述预定时间间隔结束时恢复到递送所述预设剂量的胰岛素。
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公开(公告)号：US08977504B2
公开(公告)日：2015-03-10
申请号：US12682543
申请日：2008-10-10
申请人： Roman Hovorka
发明人： Roman Hovorka
CPC分类号： G06F19/3468 , A61M5/1723 , G06F19/00 , G06F19/3456 , G16H50/50
摘要： Apparatus for monitoring a substance in human or animal in real time, the apparatus comprising a sensor providing a time series of measurements of substance level, said measurements being indicative of an inferred level of said substance in a part of said human or animal and a processor which applies an interacting multiple model strategy to a system model to provide a combined estimate of the inferred substance level from the substance level measurements. The substance may be glucose. The apparatus may also be adapted to control said substance using said interacting multiple model strategy to a system model to provide a combined estimate of a dose to be applied.
摘要翻译： 用于实时监测人或动物物质的装置，所述装置包括提供物质水平的时间序列测量的传感器，所述测量指示所述人或动物的一部分中所述物质的推断水平，以及处理器 其将相互作用的多模型策略应用于系统模型，以从物质水平测量中提供推断的物质水平的综合估计。 该物质可以是葡萄糖。 该装置还可以适于使用所述相互作用的多模型策略来控制所述物质到系统模型，以提供要应用的剂量的组合估计。
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公开(公告)号：US20110040487A1
公开(公告)日：2011-02-17
申请号：US12682543
申请日：2008-10-10
申请人： Roman Hovorka
发明人： Roman Hovorka
IPC分类号： G06F19/00
CPC分类号： G06F19/3468 , A61M5/1723 , G06F19/00 , G06F19/3456 , G16H50/50
摘要： Apparatus for monitoring a substance in human or animal in real time, the apparatus comprising a sensor providing a time series of measurements of substance level, said measurements being indicative of an inferred level of said substance in a part of said human or animal and a processor which applies an interacting multiple model strategy to a system model to provide a combined estimate of the inferred substance level from the substance level measurements. The substance may be glucose. The apparatus may also be adapted to control said substance using said interacting multiple model strategy to a system model to provide a combined estimate of a dose to be applied.
摘要翻译： 用于实时监测人或动物物质的装置，所述装置包括提供物质水平的时间序列测量的传感器，所述测量指示所述人或动物的一部分中所述物质的推断水平，以及处理器 其将相互作用的多模型策略应用于系统模型，以从物质水平测量中提供推断的物质水平的综合估计。 该物质可以是葡萄糖。 该装置还可以适于使用所述相互作用的多模型策略来控制所述物质到系统模型，以提供要应用的剂量的组合估计。
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