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公开(公告)号:US20190175079A1
公开(公告)日:2019-06-13
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 , A61B5/145 , A61B5/1473 , A61B5/00
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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12.
公开(公告)号:US20240285199A1
公开(公告)日:2024-08-29
申请号:US18643565
申请日:2024-04-23
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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13.
公开(公告)号:US20240260867A1
公开(公告)日:2024-08-08
申请号:US18633877
申请日:2024-04-12
Applicant: Medtronic MiniMed, Inc.
Inventor: Peter Ajemba , Keith Nogueira , Brian T. Kannard
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:US11654235B2
公开(公告)日:2023-05-23
申请号:US16569401
申请日:2019-09-12
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
CPC classification number: A61M5/1723 , A61B5/1495 , A61B5/14532 , A61M5/14244 , A61B5/145 , A61B5/4839 , A61B2560/0223 , A61B2560/0228 , A61B2560/0238 , A61M2005/14208 , G16H20/17
Abstract: Medical devices and related systems and methods are provided. A method of calibrating an instance of a sensing element involves obtaining fabrication process measurement data from a substrate having the instance of the sensing element fabricated thereon, obtaining a calibration model associated with the sensing element, determining calibration data associated with the instance of the sensing element for converting the electrical signals into a calibrated measurement parameter based on the fabrication process measurement data using the calibration model, and storing the calibration data in a data storage element associated with the instance of the sensing element.
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公开(公告)号:US11471082B2
公开(公告)日:2022-10-18
申请号:US15840673
申请日:2017-12-13
Applicant: MEDTRONIC MINIMED, INC.
Inventor: Andrea Varsavsky , Jeffrey Nishida , Taly G. Engel , Keith Nogueira , Andy Y. Tsai , Peter Ajemba
IPC: A61B5/1495 , A61B5/1473 , A61B5/145 , A61B5/00 , A61M5/142 , A61M5/172 , A61B5/1486
Abstract: A continuous glucose monitoring system may employ complex redundancy to take operational advantage of disparate characteristics of two or more dissimilar, or non-identical, sensors, including, e.g., characteristics relating to hydration, stabilization, and durability of such sensors. Fusion algorithms, Electrochemical Impedance Spectroscopy (EIS), and advanced Application Specific Integrated Circuits (ASICs) may be used to implement use of such redundant glucose sensors, devices, and sensor systems in such a way as to bridge the gaps between fast start-up, sensor longevity, and accuracy of calibration-free algorithms. Systems, devices, and algorithms are described for achieving a long-wear and reliable sensor which also minimizes, or eliminates, the need for BG calibration, thereby providing a calibration-free, or near calibration-free, sensor.
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16.
公开(公告)号:US11344235B2
公开(公告)日:2022-05-31
申请号:US16117733
申请日:2018-08-30
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 , 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.
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公开(公告)号:US20200245910A1
公开(公告)日:2020-08-06
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
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.
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公开(公告)号:US20190175080A1
公开(公告)日:2019-06-13
申请号:US15840673
申请日:2017-12-13
Applicant: MEDTRONIC MINIMED, INC.
Inventor: Andrea Varsavsky , Jeffrey Nishida , Taly G. Engel , Keith Nogueira , Andy Y. Tsai , Peter Ajemba
IPC: A61B5/1495 , A61B5/145 , A61B5/1473 , A61B5/00 , A61M5/142 , A61M5/172
Abstract: A continuous glucose monitoring system may employ complex redundancy to take operational advantage of disparate characteristics of two or more dissimilar, or non-identical, sensors, including, e.g., characteristics relating to hydration, stabilization, and durability of such sensors. Fusion algorithms, Electrochemical Impedance Spectroscopy (EIS), and advanced Application Specific Integrated Circuits (ASICs) may be used to implement use of such redundant glucose sensors, devices, and sensor systems in such a way as to bridge the gaps between fast start-up, sensor longevity, and accuracy of calibration-free algorithms. Systems, devices, and algorithms are described for achieving a long-wear and reliable sensor which also minimizes, or eliminates, the need for BG calibration, thereby providing a calibration-free, or near calibration-free, sensor.
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19.
公开(公告)号:US20190076070A1
公开(公告)日:2019-03-14
申请号:US16117733
申请日:2018-08-30
Applicant: MEDTRONIC MINIMED, INC.
Inventor: Keith Nogueira , Peter Ajemba , Michael E. Miller , Steven C. Jacks , Jeffrey Nishida , Andy Y. Tsai , Andrea Varsavsky
IPC: A61B5/145 , A61B5/1495 , A61B5/1486
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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20.
公开(公告)号:US20190076066A1
公开(公告)日:2019-03-14
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 , A61B5/0205
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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