Jefferson Rose - Culver City CA, US Ashwin K. Rao - Northridge CA, US Ning Yang - Northridge CA, US Chia-Hung Chiu - Granada Hills CA, US Ying Luo - Stevenson Ranch CA, US Rebecca K. Gottlieb - Culver City CA, US
Assignee:
MEDTRONIC MINIMED, INC. - Northridge CA
International Classification:
A61B 5/1468
US Classification:
600347
Abstract:
Embodiments of the invention provide analyte sensors and sensor systems such as amperometric glucose sensors used in the management of diabetes as well as optimized methods for monitoring analytes using such sensors and sensor systems.
Method And/Or System For Multicompartment Analyte Monitoring
Ning Yang - Northridge CA, US Rebecca K. Gottlieb - Culver City CA, US Keith Nogueira - Northridge CA, US Xiaolong Li - Granada Hills CA, US Bradley Liang - Bloomfield Hills MI, US
Assignee:
MEDTRONIC MINIMED, INC. - Northridge CA
International Classification:
A61B 5/1468
US Classification:
600347
Abstract:
Subject matter disclosed herein relates to monitoring and/or controlling levels of an analyte in bodily fluid. In particular, estimation of a concentration of the analyte in a first physiological compartment based upon observations of a concentration of the analyte in a second physiological compartment may account for a latency in transporting the analyte between the first and second physiological compartments.
Method And/Or System For Multicompartment Analyte Monitoring
Ning Yang - Northridge CA, US Rebecca K. Gottlieb - Culver City CA, US Keith Nogueira - Northridge CA, US Xiaolong Li - Granada Hills CA, US Bradley Liang - Bloomfield Hills MI, US Brian T. Kannard - Los Angeles CA, US
Assignee:
Medtronic Minimed, Inc. - Northridge CA
International Classification:
A61B 5/145 A61M 5/168
US Classification:
600365, 600309, 604 66
Abstract:
Subject matter disclosed herein relates to monitoring and/or controlling levels of an analyte in bodily fluid. In particular, estimation of a concentration of the analyte in a first physiological compartment based upon observations of a concentration of the analyte in a second physiological compartment may account for a latency in transporting the analyte between the first and second physiological compartments.
Polar Plot To Represent Glucose Sensor Performance
Rebecca K. Gottlieb - Culver City CA, US Ying Luo - Stevenson Ranch CA, US Ning Yang - Northridge CA, US James Geoffrey Chase - Christchurch, NZ
Assignee:
Medtronic Minimed, Inc. - Northridge CA
International Classification:
A61B 5/145
US Classification:
600365
Abstract:
Disclosed are methods, apparatuses, etc. for providing a visual expression of the performance of one or more blood glucose sensors. In one particular example, a relative comparison of a rate of change sensor blood glucose and a rate of change in reference blood glucose may be expressed in a polar plot or graph. The polar plot or graph may then be generated onto a visual medium.
Application Of Electrochemical Impedance Spectroscopy In Sensor Systems, Devices, And Related Methods
MEDTRONIC MINIMED, INC. - , US Ning Yang - Los Angeles CA, US Rajiv Shah - Rancho Palos Verdes CA, US
International Classification:
A61B 5/053 A61B 5/145 A61B 5/1495 A61B 5/1473
US Classification:
600347, 600345
Abstract:
A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-reliable fused sensor glucose value based on signals from a plurality of redundant sensing electrodes, calibrating sensors, detecting interferents within close proximity of one or more sensing electrodes, and testing surface area characteristics of electroplated electrodes. Advantageously, impedance-related parameters can be defined that are substantially glucose-independent over specific ranges of frequencies. An Application Specific Integrated Circuit (ASIC) enables implementation of the EIS-based diagnostics, fusion algorithms, and other processes based on measurement of EIS-based parameters.
Calibration Of Optical Glucose Sensors Based On Electrochemical Glucose Sensors
The disclosed techniques include obtaining a first signal generated by an electrochemical glucose sensor and a second signal generated by an optical glucose sensor, and obtaining a glucose value indicative of a user's blood glucose level, where the glucose value and the second signal are obtained at different times. The disclosed techniques further cause calculating a mapped value for the second signal based on the first signal, and calibrating the mapped value of the second signal based on the glucose value.
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.
Methods And Systems For Improving The Reliability Of Orthogonally Redundant Sensors
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.
Weil, Gotshal & Manges Llp
Senior Manager, It Security Operations
Liquidhub Jun 2011 - Aug 2012
Director
Parsons Corporation Jul 2009 - Jun 2011
Senior Manager
Dell 1998 - 2009
Senior Application Manager
Beijing Hitachi Control Systems Jul 1995 - Jul 1996
Engineer
Education:
Rutgers University 2003 - 2008
Master of Business Administration, Masters, Business Management, Business, Finance
Iowa State University 1998
Master of Science, Masters
Iowa State University 1996 - 1997
Masters, Electrical Engineering
Tsinghua University 1990 - 1995
Bachelor of Engineering, Bachelors, Electrical Engineering
Skills:
Digital Marketing Web Analytics Crm Business Intelligence Knowledge Management Business Process Design Integration Application Development Business Analysis Strategy Leadership Program Management Vendor Management Software Development Project Management Sharepoint It Service Management Microsoft Sql Server Management It Strategy It Management Consulting Cloud Computing Application Architecture Customer Relationship Management
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