Patents by Inventor Malgorzata E. Wilinska
Malgorzata E. Wilinska has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11246986Abstract: 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”).Type: GrantFiled: January 18, 2019Date of Patent: February 15, 2022Assignee: Abbott Diabetes Care Inc.Inventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Publication number: 20210361867Abstract: 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”).Type: ApplicationFiled: August 10, 2021Publication date: November 25, 2021Applicants: Abbott Diabetes Care Inc., Cambridge Enterprise LimitedInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Publication number: 20190151540Abstract: 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”).Type: ApplicationFiled: January 18, 2019Publication date: May 23, 2019Applicants: Abbott Diabetes Care Inc., Cambridge Enterprise LimitedInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Publication number: 20170135643Abstract: 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.Type: ApplicationFiled: January 24, 2017Publication date: May 18, 2017Inventors: Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka, Malgorzata E. Wilinska, David Dunger
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Publication number: 20170080152Abstract: 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”).Type: ApplicationFiled: June 27, 2016Publication date: March 23, 2017Inventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Patent number: 9402953Abstract: 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”).Type: GrantFiled: November 18, 2013Date of Patent: August 2, 2016Assignees: ABBOTT DIABETES CARE INC., CAMBRIDGE ENTERPRISE LIMITEDInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Publication number: 20140081236Abstract: 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”).Type: ApplicationFiled: November 18, 2013Publication date: March 20, 2014Applicants: ABBOTT DIABETES CARE INC., Cambridge Enterprise Limited, CAMBRIDGE UNIVERSITY LIMITEDInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Patent number: 8585637Abstract: 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”).Type: GrantFiled: September 22, 2011Date of Patent: November 19, 2013Assignees: Abbott Diabetes Care Inc., Cambridge Enterprise LimitedInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Publication number: 20120010600Abstract: 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”).Type: ApplicationFiled: September 22, 2011Publication date: January 12, 2012Applicants: CAMBRIDGE ENTERPRISE LIMITED, ABBOTT DIABETES CARE INC.Inventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Patent number: 8062249Abstract: 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”).Type: GrantFiled: March 31, 2010Date of Patent: November 22, 2011Assignees: Abbott Diabetes Care Inc., Cambridge Enterprise LimitedInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka
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Publication number: 20100280441Abstract: 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”).Type: ApplicationFiled: March 31, 2010Publication date: November 4, 2010Applicants: ABBOTT DIABETES CARE INC., CAMBRIDGE ENTERPRISE LIMITEDInventors: Malgorzata E. Wilinska, Erwin S. Budiman, Gary A. Hayter, Marc B. Taub, Roman Hovorka