公开(公告)号：US12114972B2

公开(公告)日：2024-10-15

申请号：US16773422

申请日：2020-01-27

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Georgios Mallas ,  Andrea Varsavsky ,  Peter Ajemba ,  Jeffrey Nishida ,  Keith Nogueira ,  Elaine Gee ,  Leonardo Nava-Guerra ,  Jing Liu ,  Sadaf S. Seleh ,  Taly G. Engel ,  Benyamin Grosman ,  Steven Lai ,  Luis A. Torres ,  Chi A. Tran ,  David M. Sniecinski

IPC: A61B5/145 ,  A61B5/1468

CPC classification number: A61B5/14532 ,  A61B5/1468 ,  A61B2560/0223 ,  A61B2562/16

Abstract: A continuous glucose monitoring system may utilize electrode current (Isig) signals, Electrochemical Impedance Spectroscopy (EIS), and Vcntr values to optimize sensor glucose (SG) calculation in such a way as to enable reduction of the need for blood glucose (BG) calibration requests from users.

公开(公告)号：US11311217B2

公开(公告)日：2022-04-26

申请号：US16117617

申请日：2018-08-30

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Peter Ajemba ,  Keith Nogueira ,  Brian T. Kannard

IPC: A61B5/1495 ,  A61B5/145 ,  A61B5/00 ,  G06N5/02 ,  G01N27/02 ,  A61B5/1468 ,  A61B5/1455 ,  A61B5/1486 ,  G16H50/30 ,  G16H20/17 ,  G16H50/70 ,  G16H40/40 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/024 ,  A61B5/11

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.

公开(公告)号：US20220095964A1

公开(公告)日：2022-03-31

申请号：US17546112

申请日：2021-12-09

Applicant: Medtronic MiniMed, Inc.

Inventor： Jeffrey Nishida ,  Andrea Varsavsky ,  Taly G. Engel ,  Keith Nogueira ,  Andy Y. Tsai ,  Peter Ajemba

IPC: A61B5/1495 ,  A61B5/00 ,  A61B5/1473 ,  A61B5/145 ,  G01N27/327

Abstract: A method for optional external calibration of a calibration-free glucose sensor uses values of measured working electrode current (Isig) and EIS data to calculate a final sensor glucose (SG) value. Counter electrode voltage (Vcntr) may also be used as an input. Raw Isig and Vcntr values may be preprocessed, and low-pass filtering, averaging, and/or feature generation may be applied. SG values may be generated using one or more models for predicting SG calculations. When an external blood glucose (BG) value is available, the BG value may also be used in calculating the SG values. A SG variance estimate may be calculated for each predicted SG value and modulated, with the modulated SG values then fused to generate a fused SG. A Kalman filter, as well as error detection logic, may be applied to the fused SG value to obtain a final SG, which is then displayed to the user.

公开(公告)号：US11213230B2

公开(公告)日：2022-01-04

申请号：US15840515

申请日：2017-12-13

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Jeffrey Nishida ,  Andrea Varsavsky ,  Taly G. Engel ,  Keith Nogueira ,  Andy Y. Tsai ,  Peter Ajemba

IPC: A61B5/1495 ,  A61B5/00 ,  A61B5/1473 ,  A61B5/145 ,  G01N27/327 ,  A61M5/172 ,  A61B5/1486

Abstract: A method for optional external calibration of a calibration-free glucose sensor uses values of measured working electrode current (Isig) and EIS data to calculate a final sensor glucose (SG) value. Counter electrode voltage (Vcntr) may also be used as an input. Raw Isig and Vcntr values may be preprocessed, and low-pass filtering, averaging, and/or feature generation may be applied. SG values may be generated using one or more models for predicting SG calculations. When an external blood glucose (BG) value is available, the BG value may also be used in calculating the SG values. A SG variance estimate may be calculated for each predicted SG value and modulated, with the modulated SG values then fused to generate a fused SG. A Kalman filter, as well as error detection logic, may be applied to the fused SG value to obtain a final SG, which is then displayed to the user.

公开(公告)号：US20210174960A1

公开(公告)日：2021-06-10

申请号：US16848710

申请日：2020-04-14

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Elaine Gee ,  Peter Ajemba ,  Bahman Engheta ,  Jeffrey Nishida ,  Andrea Varsavsky ,  Keith Nogueira

IPC: G16H50/20 ,  A61B5/145 ,  A61M5/172 ,  A61B5/00 ,  G16H50/30 ,  G16H70/60 ,  G16H40/67 ,  G16H50/50 ,  G16H20/17 ,  G06N3/08 ,  G06N3/04

Abstract: Medical devices and related systems and methods are provided. A method of estimating a physiological condition involves obtaining reference measurement data for the physiological condition, obtaining first measurement data corresponding to the reference measurement data from one or more instances of the first sensing arrangement, determining a generative model associated with the first sensing arrangement based on relationships between the first measurement data and the reference measurement data, obtaining second reference measurement data for the physiological condition, generating simulated measurement data corresponding to the second reference measurement data by applying the generative model to the second reference measurement data, and determining an estimation model for the physiological condition based on relationships between the simulated measurement data and the second reference measurement data, wherein the estimation model is applied to subsequent measurement output provided by an instance of the first sensing arrangement to obtain an estimated value for the physiological condition.

公开(公告)号：US20210170103A1

公开(公告)日：2021-06-10

申请号：US16848695

申请日：2020-04-14

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Elaine Gee ,  Peter Ajemba ,  Bahman Engheta ,  Jeffrey Nishida ,  Andrea Varsavsky ,  Keith Nogueira

IPC: A61M5/172 ,  A61B5/145 ,  A61B5/00 ,  G16H50/50 ,  G16H20/17

Abstract: Medical devices and related systems and methods are provided. A method of estimating a physiological condition using a first sensing arrangement involves obtaining a sensor translation model associated with a relationship between the first sensing arrangement and a second sensing arrangement, wherein the second sensing arrangement is different from the first sensing arrangement, obtaining one or more measurements from a sensing element coupled to the processing system of the first sensing arrangement, determining simulated measurement data for the second sensing arrangement by applying the sensor translation model to the one or more measurements from the sensing element of the first sensing arrangement, and determining an estimated value for the physiological condition by applying an estimation model associated with the second sensing arrangement to the simulated measurement data.

公开(公告)号：US20240189508A1

公开(公告)日：2024-06-13

申请号：US18443207

申请日：2024-02-15

Applicant: Medtronic MiniMed, Inc.

Inventor： Steven C. Jacks ,  Peter Ajemba ,  Akhil Srinivasan ,  Jacob E. Pananen ,  Sarkis Aroyan ,  Pablo Vazquez ,  Tri T. Dang ,  Ashley N. Sullivan ,  Raghavendhar Gautham

IPC: A61M5/172 ,  A61B5/00 ,  A61B5/145 ,  A61B5/1495 ,  A61M5/142 ,  G16H20/17

CPC classification number: A61M5/1723 ,  A61B5/14532 ,  A61B5/1495 ,  A61M5/14244 ,  A61B5/4839 ,  A61B2560/0223 ,  A61B2560/0238 ,  A61M2005/14208 ,  G16H20/17

Abstract: Techniques disclosed herein relate to determining a calibrated measurement value indicative of a physiological condition of a patient using sensor calibration data determined based on fabrication measurements. In some embodiments, the techniques involve obtaining one or more electrical signals from a sensing element of a sensing arrangement, where the one or more electrical signals are influenced by a physiological condition in a body of a patient; obtaining calibration data associated with the sensing element, where the calibration data is based on fabrication process measurement data for the sensing element and a calibration model for a certain physiological condition; and determining, using the one or more electrical signals and the calibration data associated with the sensing element, a calibrated output value indicative of the physiological condition.

公开(公告)号：US20230352186A1

公开(公告)日：2023-11-02

申请号：US18344471

申请日：2023-06-29

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Elaine Gee ,  Peter Ajemba ,  Bahman Engheta ,  Jeffrey Nishida ,  Andrea Varsavsky ,  Keith G. Nogueira

IPC: G16H40/67 ,  A61B5/00 ,  G16H20/17 ,  G16H50/70 ,  G06N3/045 ,  G16H50/50 ,  G16H10/60 ,  A61B5/145 ,  G06F18/214 ,  G06N3/0475 ,  G06N3/088 ,  G16H40/40 ,  G16H50/30 ,  G16H50/20 ,  G16H70/60

CPC classification number: G16H50/50 ,  A61B5/0022 ,  A61B5/1451 ,  A61B5/14532 ,  A61B5/7253 ,  A61B5/7267 ,  A61B5/7275 ,  G06F18/214 ,  G06N3/045 ,  G06N3/0475 ,  G06N3/088 ,  G16H10/60 ,  G16H20/17 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  G16H70/60 ,  A61M5/1723

Abstract: Techniques for sensor calibration involve determining a generative model using sensor measurements from different instances of a first glucose sensor together with corresponding reference glucose values. The generative model is configured to generate a simulated measurement representing a predicted output of the first glucose sensor under specific operating conditions. A set of simulated measurements is generated using operating conditions observed with respect to a second glucose sensor as inputs to the generative model. The second glucose sensor is a sensor of a different design. The operating conditions observed with respect to the second glucose sensor include reference glucose values obtained in connection with measurements made using the second glucose sensor. The simulated measurements are then used to determine an estimation model for the first glucose sensor. The estimation model is configured to estimate glucose level given one or more sensor measurements from the first glucose sensor.

公开(公告)号：US20230260664A1

公开(公告)日：2023-08-17

申请号：US18305806

申请日：2023-04-24

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Elaine Gee ,  Peter Ajemba ,  Bahman Engheta ,  Jeffrey Nishida ,  Andrea Varsavsky ,  Keith G. Nogueira

IPC: G16H50/50 ,  G16H40/40 ,  G16H50/30 ,  G16H50/20 ,  G16H40/67 ,  G16H10/60 ,  A61B5/00 ,  A61B5/145 ,  G16H20/17 ,  G06F18/214 ,  G06N3/0475 ,  G16H50/70

CPC classification number: G16H50/50 ,  G16H40/40 ,  G16H50/30 ,  G16H50/20 ,  G16H40/67 ,  G16H10/60 ,  A61B5/7275 ,  A61B5/14532 ,  A61B5/0022 ,  G16H20/17 ,  A61B5/1451 ,  A61B5/7267 ,  A61B5/7253 ,  G06F18/214 ,  G06N3/0475 ,  G16H50/70 ,  A61M5/1723

Abstract: Disclosed are methods and corresponding systems and devices for providing an estimation model for use with one or more instances of a particular sensor. In some aspects, an estimation model usable for estimating a value of a physiological condition is determined based at least in part on simulated measurements. The simulated measurements are generated for a first sensor, through applying a translation model to convert historical measurements associated with a second sensor into measurements that would have been produced by the first sensor. The second sensor has a different design or configuration than the first sensor. The historical measurements represent changes in the physiological condition as observed by different instances of the second sensor. The estimation model can be made available to one or more electronic devices, including at least one device configured to apply the estimation model to a measurement from a corresponding instance of the first sensor.

公开(公告)号：US11565044B2

公开(公告)日：2023-01-31

申请号：US16569417

申请日：2019-09-12

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Steven C. Jacks ,  Peter Ajemba ,  Akhil Srinivasan ,  Jacob E. Pananen ,  Sarkis Aroyan ,  Pablo Vazquez ,  Tri T. Dang ,  Ashley N. Sullivan ,  Raghavendhar Gautham

IPC: A61B5/1495 ,  A61M5/172 ,  A61B5/145 ,  A61M5/142 ,  G16H20/17 ,  A61B5/00

Abstract: Medical devices, systems and methods are provided. One method involves obtaining fabrication process measurement data for a plurality of instances of a sensing element, obtaining reference output measurement data from the plurality of instances in response to a reference stimulus, determining a predictive model for a measurement output of the sensing element as a function of fabrication process measurement variables based on the relationship between the fabrication process measurement data and the reference output measurement data, generating a simulated output measurement distribution across a range of the fabrication process measurement variables using the predictive model, identifying performance thresholds for the measurement output based on the simulated output measurement distribution, obtaining output measurement data from the instance of the sensing element in response to the reference stimulus, and verifying the output measurement data satisfies the performance threshold prior to calibrating a subsequent instance of the sensing element.