公开(公告)号：US12082930B2

公开(公告)日：2024-09-10

申请号：US17939067

申请日：2022-09-07

Applicant: Medtronic MiniMed, Inc.

Inventor： Peter Ajemba ,  Keith Nogueira ,  Jeffrey Nishida ,  Andy Y. Tsai

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：US11938303B2

公开(公告)日：2024-03-26

申请号：US18066212

申请日：2022-12-14

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 ,  A61B5/145 ,  A61M5/142 ,  A61M5/172 ,  A61B5/00 ,  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 and a performance model. 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. The techniques also involve obtaining calibration data associated with the sensing element from a data storage element of the sensing arrangement, converting the one or more electrical signals into one or more calibrated measurement parameters using the calibration data, obtaining a performance model associated with the sensing element, obtaining personal data associated with the patient, and determining, using the performance model and based on the personal data and the one or more calibrated measurement parameters, a calibrated output value indicative of the physiological condition.

公开(公告)号：US20230241315A1

公开(公告)日：2023-08-03

申请号：US18132321

申请日：2023-04-07

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Akhil Srinivasan ,  Peter Ajemba ,  Steven C. Jacks ,  Robert C. Mucic ,  Tyler R. Wong ,  Melissa Tsang ,  Chi-En Lin ,  Mohsen Askarinya ,  David Probst

IPC: A61M5/172 ,  A61B5/145 ,  A61M5/142 ,  A61B5/1495

CPC classification number: A61M5/1723 ,  A61B5/14532 ,  A61M5/14244 ,  A61B5/1495 ,  A61B5/4839

Abstract: Medical devices and related systems and methods are provided. A method of controlling medication delivery based on sensor input involves obtaining a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person. The measurement parameter is converted into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element. The method further involves determining a measurement value using the calibrated measurement parameter as input to a performance model. The performance model is derived from historical calibrated measurement parameters and corresponding reference values. The historical calibrated measurement parameters are from other instances of the sensing element. A command is then determined based on the measurement value and sent to a medical device. The command causes the medical device to deliver a dose of medication influencing the physiological condition of the person.

公开(公告)号：US11670425B2

公开(公告)日：2023-06-06

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 ,  G16H10/60 ,  G16H20/17 ,  G16H70/60 ,  G06N3/088 ,  A61B5/00 ,  A61B5/145 ,  G06N3/045 ,  A61M5/172

CPC classification number: G16H40/40 ,  A61B5/0022 ,  A61B5/1451 ,  A61B5/14532 ,  A61B5/7253 ,  A61B5/7267 ,  A61B5/7275 ,  G06N3/045 ,  G06N3/088 ,  G16H10/60 ,  G16H20/17 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H70/60 ,  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 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：US20230110585A1

公开(公告)日：2023-04-13

申请号：US18066212

申请日：2022-12-14

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 ,  A61B5/145 ,  A61M5/142 ,  A61B5/1495

Abstract: Techniques disclosed herein relate to determining a calibrated measurement value indicative of a physiological condition of a patient using sensor calibration data and a performance model. 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. The techniques also involve obtaining calibration data associated with the sensing element from a data storage element of the sensing arrangement, converting the one or more electrical signals into one or more calibrated measurement parameters using the calibration data, obtaining a performance model associated with the sensing element, obtaining personal data associated with the patient, and determining, using the performance model and based on the personal data and the one or more calibrated measurement parameters, a calibrated output value indicative of the physiological condition.

公开(公告)号：US11445951B2

公开(公告)日：2022-09-20

申请号：US16117466

申请日：2018-08-30

Applicant: MEDTRONIC MINIMED, INC.

Inventor： Peter Ajemba ,  Keith Nogueira ,  Jeffrey Nishida ,  Andy Y. Tsai

IPC: A61B5/1495 ,  A61B5/145 ,  A61B5/1486 ,  A61B5/00 ,  G06N5/02 ,  G16H50/30 ,  G01N27/02 ,  G16H20/17 ,  G16H50/70 ,  A61B5/1468 ,  G16H40/40 ,  A61B5/1455 ,  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：US20220273198A1

公开(公告)日：2022-09-01

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 ,  A61B5/145 ,  A61B5/1486 ,  A61B5/00 ,  G06N5/02 ,  G16H50/30 ,  G01N27/02 ,  G16H20/17 ,  G16H50/70 ,  A61B5/1468 ,  G16H40/40

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：US20220211302A1

公开(公告)日：2022-07-07

申请号：US17574700

申请日：2022-01-13

Applicant: Medtronic MiniMed, Inc.

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

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

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：US20210077718A1

公开(公告)日：2021-03-18

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: A61M5/172 ,  A61B5/145 ,  A61M5/142 ,  A61B5/1495

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.