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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.
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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.
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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.
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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
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.
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公开(公告)号:US10478557B2
公开(公告)日:2019-11-19
申请号:US15240726
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 , A61B5/145 , A61B5/00 , G16H10/60 , G16H50/50 , G16H40/63 , G16H40/40 , G16H50/20 , A61B5/024 , A61M5/142 , G16H15/00
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.
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公开(公告)号:US20170181676A1
公开(公告)日:2017-06-29
申请号:US14980205
申请日:2015-12-28
Applicant: MEDTRONIC MINIMED, INC.
Inventor: Keith Nogueira , Taly G. Engel , Raghavendhar Gautham , Xiaolong Li , Bradley C. Liang , Rajiv Shah , Jaeho Kim , Mike C. Liu , Andy Y. Tsai , Jeffrey Nishida
IPC: A61B5/145 , A61B5/1486 , A61B5/00 , A61B5/053
CPC classification number: A61B5/14532 , A61B5/14865 , A61B5/7221 , A61B2560/0223 , A61B2560/0276
Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.
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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.
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18.
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.
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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.
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20.
公开(公告)号:US20230000402A1
公开(公告)日:2023-01-05
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 , A61B5/145 , 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.
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