公开(公告)号：US12119119B2

公开(公告)日：2024-10-15

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: G16H50/00 ,  A61B5/00 ,  A61B5/145 ,  G06F18/214 ,  G06N3/045 ,  G06N3/0475 ,  G06N3/088 ,  G16H10/60 ,  G16H20/17 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/60 ,  A61B5/1495 ,  A61M5/172

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 ,  A61B5/1495 ,  A61B2560/0223 ,  A61B2560/0228 ,  A61M5/1723 ,  A61M2205/3303 ,  A61M2205/50 ,  A61M2205/52 ,  A61M2205/70 ,  A61M2230/201

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：US12042284B2

公开(公告)日：2024-07-23

申请号：US15878313

申请日：2018-01-23

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Jia Yao ,  Daniel E. Pesantez ,  Anuradha Biswas Bhatia ,  Akhil Srinivasan ,  Guangping Zhang ,  Andrea Varsavsky ,  Raghavendhar Gautham

IPC: A61B5/1486 ,  A61B5/145 ,  A61L31/04 ,  A61L31/14 ,  C09D5/16 ,  C12Q1/00 ,  C12Q1/26 ,  C12Q1/54 ,  A61B5/00

CPC classification number: A61B5/14865 ,  A61B5/1451 ,  A61B5/14532 ,  A61L31/04 ,  A61L31/14 ,  C09D5/1681 ,  C12Q1/006 ,  C12Q1/26 ,  C12Q1/54 ,  A61B5/41 ,  A61L2400/18

Abstract: Embodiments of the invention provide optimized polymeric surfaces adapted for use with implantable medical devices as well as methods for making and using such polymeric surfaces. These polymer surfaces have a constellation of features that function to inhibit or avoid an inflammatory immune response generated by implantable medical devices. Typical embodiments of the invention include an implantable glucose sensor used in the management of diabetes having a polymer surface with the disclosed constellation of features.

公开(公告)号：US11963768B2

公开(公告)日：2024-04-23

申请号：US17737236

申请日：2022-05-05

Applicant: Medtronic MiniMed, Inc.

Inventor： Keith Nogueira ,  Peter Ajemba ,  Michael E. Miller ,  Steven C. Jacks ,  Jeffrey Nishida ,  Andy Y. Tsai ,  Andrea Varsavsky

IPC: A61B5/1495 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/024 ,  A61B5/11 ,  A61B5/145 ,  A61B5/1455 ,  A61B5/1468 ,  A61B5/1486 ,  G01N27/02 ,  G06N5/022 ,  G16H20/17 ,  G16H40/40 ,  G16H50/30 ,  G16H50/70

CPC classification number: A61B5/1495 ,  A61B5/14532 ,  A61B5/1468 ,  A61B5/14865 ,  A61B5/6849 ,  A61B5/686 ,  G01N27/026 ,  G06N5/022 ,  G16H20/17 ,  G16H40/40 ,  G16H50/30 ,  G16H50/70 ,  A61B5/0075 ,  A61B5/02055 ,  A61B5/021 ,  A61B5/024 ,  A61B5/1118 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7267 ,  A61B5/742 ,  A61B2505/07 ,  A61B2560/0223 ,  A61B2560/0252 ,  A61B2560/0257 ,  A61B2562/028 ,  A61B2562/029 ,  A61B2562/164

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：US11857765B2

公开(公告)日：2024-01-02

申请号：US18045034

申请日：2022-10-07

Applicant: Medtronic MiniMed, Inc.

Inventor： Andrea Varsavsky ,  Yunfeng Lu ,  Keith Nogueira ,  Jeffrey Nishida

IPC: A61M5/172 ,  G16H40/63 ,  G16H40/40 ,  G16H50/20 ,  G16H10/60 ,  G16H50/50 ,  G16H20/17 ,  A61B5/145 ,  A61B5/00 ,  G16H15/00 ,  A61M5/142 ,  A61B5/024

CPC classification number: A61M5/1723 ,  A61B5/14532 ,  A61B5/4839 ,  G16H10/60 ,  G16H20/17 ,  G16H40/40 ,  G16H40/63 ,  G16H50/20 ,  G16H50/50 ,  A61B5/0022 ,  A61B5/02438 ,  A61B5/7239 ,  A61B5/7242 ,  A61B2560/0242 ,  A61B2562/0219 ,  A61M5/14244 ,  A61M2205/3569 ,  A61M2205/502 ,  A61M2205/52 ,  A61M2205/70 ,  A61M2230/005 ,  A61M2230/06 ,  A61M2230/201 ,  G16H15/00

Abstract: A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information; obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition; converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value; and outputting the calibrated measurement value for the physiological condition.

公开(公告)号：US11382538B2

公开(公告)日：2022-07-12

申请号：US16522376

申请日：2019-07-25

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Andrea Varsavsky ,  Xiaolong Li ,  Mike C. Liu ,  Yuxiang Zhong ,  Ning Yang

IPC: A61B5/1455 ,  A61B5/145 ,  A61B5/1495 ,  A61B5/1459 ,  A61B5/1473 ,  A61B5/00 ,  A61M5/142 ,  A61M5/172 ,  A61B5/1468 ,  G01N21/00 ,  G01N27/416 ,  G01N33/49 ,  G01N33/66 ,  G01N21/84 ,  G01N27/27 ,  C12Q1/00 ,  G01N21/59 ,  G01N27/327

Abstract: Methods and systems for sensor calibration and sensor glucose (SG) fusion are used advantageously to improve the accuracy and reliability of orthogonally redundant glucose sensor devices, which may include optical and electrochemical glucose sensors. Calibration for both sensors may be achieved via fixed-offset and/or dynamic regression methodologies, depending, e.g., on sensor stability and Isig-Ratio pair correlation. For SG fusion, respective integrity checks may be performed for SG values from the optical and electrochemical sensors, and the SG values calibrated if the integrity checks are passed. Integrity checks may include checking for sensitivity loss, noise, and drift. If the integrity checks are failed, in-line sensor mapping between the electrochemical and optical sensors may be performed prior to calibration. The electrochemical and optical SG values may be weighted (as a function of the respective sensor's overall reliability index (RI)) and the weighted SGs combined to obtain a single, fused SG value.

公开(公告)号：US20220125352A1

公开(公告)日：2022-04-28

申请号：US17571812

申请日：2022-01-10

Applicant: Medtronic MiniMed, Inc.

Inventor： Andrea Varsavsky ,  Yunfeng Lu ,  Jay Mung

IPC: A61B5/145 ,  A61B5/0537 ,  A61B5/0538 ,  A61B5/1486 ,  A61B5/1495 ,  A61B5/00

Abstract: A single, optimal, fused sensor glucose value may be calculated based on respective sensor glucose values of a plurality of redundant working electrodes (WEs) of a glucose sensor. Respective electrochemical impedance spectroscopy (EIS) procedures may be performed for each of the WEs to obtain values of membrane resistance (Rmem) for each WE. A noise value and a calibration factor (CF) value may be calculated for each WE, and respective fusion weights may be calculated for Rmem, noise, and CF for each WE. An overall fusion weight may then be calculated based on the WE's Rmem fusion weight, noise fusion weight, and CF fusion weight, such that a single, optimal, fused sensor glucose value may be calculated based on the respective overall fusion weight and sensor glucose value of each of the plurality of redundant working electrodes.

公开(公告)号：US20210174949A1

公开(公告)日：2021-06-10

申请号：US16848687

申请日：2020-04-14

Applicant: MEDTRONIC MINIMED, INC.

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

IPC: G16H40/40 ,  G16H50/30 ,  G16H50/50 ,  G16H50/20 ,  G16H40/67 ,  G16H20/17 ,  G16H10/60 ,  A61B5/00 ,  A61B5/145

Abstract: Medical devices and related systems and methods are provided. A method of estimating a physiological condition involves determining a translation model based at least in part on relationships between first measurement data corresponding to instances of a first sensing arrangement and second measurement data corresponding to instances of a second sensing arrangement, obtaining third measurement data associated with the second sensing arrangement, determining simulated measurement data for the first sensing arrangement by applying the translation model to the third measurement data, and determining an estimation model for a physiological condition using the simulated 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：US20210076993A1

公开(公告)日：2021-03-18

申请号：US17025570

申请日：2020-09-18

Applicant: Medtronic MiniMed, Inc.

Inventor： Inthirai Somasuntharam ,  Jake Matteson ,  Matthew Jolly ,  Quyen Ong ,  Akhil Srinivasan ,  Poonam Gulati ,  Andrea Varsavsky ,  Sana Suhail

IPC: A61B5/145 ,  A61B5/1473 ,  A61K31/573

Abstract: Embodiments of the invention provide compositions useful in implantable devices such as analyte sensors as well as methods for making and using such compositions and devices. In typical embodiments of the invention, the device is a glucose sensor comprising a polymeric composition that includes amounts of one or more immunosuppressant agents so as to provide such membranes with improved material properties such as enhanced biocompatibility.

公开(公告)号：US20200038588A1

公开(公告)日：2020-02-06

申请号：US16596675

申请日：2019-10-08

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Andrea Varsavsky ,  Yunfeng Lu ,  Keith Nogueira ,  Jeffrey Nishida

IPC: A61M5/172 ,  G16H10/60 ,  G16H50/50 ,  G16H40/63 ,  G16H40/40 ,  G16H50/20 ,  A61B5/145 ,  A61B5/00

Abstract: Medical devices and related patient management systems and parameter modeling methods are provided. An exemplary method of operating a sensing device associated with a patient involves obtaining current operational context information associated with the sensing device, obtaining a parameter model associated with the patient, calculating a current parameter value based on the parameter model and the current operational context information, obtaining one or more signals from a sensing element configured to measure a condition in a body of the patient, and providing an output that is influenced by the calculated current parameter value and the one or more signals.

公开(公告)号：US10543314B2

公开(公告)日：2020-01-28

申请号：US15240733

申请日：2016-08-18

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Andrea Varsavsky ,  Yunfeng Lu ,  Keith Nogueira ,  Jeffrey Nishida

IPC: G01N33/48 ,  A61M5/172 ,  G06F19/00 ,  G16H40/63 ,  G16H40/40 ,  G16H50/20 ,  A61B5/145 ,  A61B5/00 ,  G16H15/00 ,  A61B5/024

Abstract: Medical devices and related patient management systems and parameter modeling methods are provided. An exemplary method involves obtaining, by a computing device, historical measurements of a condition in a body of the patient previously provided by a sensing device, obtaining, by the computing device, historical operational context information associated with preceding operation of one or more of an infusion device and the sensing device, obtaining, by the computing device, historical values for a parameter from one or more of the infusion device and the sensing device, determining, by the computing device a patient-specific model of the parameter based on relationships between the historical measurements, the historical operational context information and the historical values, and providing, by the computing device via a network, the patient-specific model to one of the infusion device, the sensing device or a client device.