Medtronic Minimed, Inc.

Raghavendhar Gautham

Rajiv Shah

Bradley Chi Liang

Ning Yang

Michael E Miller

Jenn-Hann Larry Wang

Yiwen Li

Kenneth W Cooper

Steven C Jacks

Megan E Little

Akhil Srinivasan

Anirban Roy

Rebecca K Gottlieb

Katherine T Wolfe

Peter Ajemba

Barry Keenan

Tri T Dang

Ying Luo

Daniel E Pesantez

Sarkis Aroyan

Catherine M Szyman

Peter G Schultz

Jaeho Kim

Robert C Mucic

Jacob E Pananen

Pablo Vazquez

Ashley N Sullivan

Wayne A Morgan

Keith Nogueira

Joseph Paul Brinson

Paris Chen

Carlos A Callirgos

Genival D De Barros

Manjunath Sirigiri

Andrea Varsavsky

Xiaolong Li

Mike C Liu

Hsiao-Yu S Kow

Jeffrey Nishida

Guangping Zhang

Andy Y Tsai

Taly G Engel

Fei Yu

Roshanne Malekmadani

Anuj M Patel

Raymond M Russell

Anuradha Biswas Bhatia

Li Zhou

Carol Chen

Lynette To

Jia Yao

Techniques disclosed herein relate to determining a calibrated measurement value indicative of a physiological condition of a patient using sensor calibration data determined based on fabrication measurements. 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; obtaining calibration data associated with the sensing element, where the calibration data is based on fabrication process measurement data for the sensing element and a calibration model for a certain physiological condition; and determining, using the one or more electrical signals and the calibration data associated with the sensing element, a calibrated output value indicative of the physiological condition.

Sensor measurement value calibration using sensor calibration data determined based on fabrication measurements

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.

Application of electrochemical impedance spectroscopy in sensor systems, devices, and related methods

Systems and methods are described herein for utilizing a photoacoustic sensor for estimating analyte concentration levels. Also described here are training methods for training an analyte sensor to more accurately estimate an analyte concentration level on the basis of a received acoustic signal.

Miniaturized noninvasive glucose sensor and continuous glucose monitoring system

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.

Implantable polymer surfaces exhibiting reduced in vivo inflammatory responses

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.

Sensor measurement value calibration using sensor calibration data and a performance model

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.

Manufacturing controls for sensor calibration using fabrication measurements

The invention disclosed herein includes sensors having three dimensional configurations that allow expansive '360&#xb0;' sensing (i.e. sensing analyte from multiple directions) in the environments in which such sensors are disposed. Embodiments of the invention provide analyte sensors having foldable substrates adapted to produce optimized configurations of electrode elements as well as methods for making and using such sensors. Typical embodiments of the invention include glucose sensors used in the management of diabetes.

Foldover sensors and methods for making and using them

A physiological characteristic sensor, a method for forming a physiological characteristic sensor, and a method for forming a platinum deposit having a rough surface are presented here. The method for forming a physiological characteristic sensor includes immersing a sensor electrode in a platinum electrolytic bath. Further, the method includes performing an electrodeposition process by sequentially applying a pulsed signal to the sensor electrode, wherein the pulsed signal includes a repeated cycle of a first current and a second current different from the first current, and applying a non-pulsed continuous signal to the sensor electrode, wherein the non-pulsed continuous signal includes a non-repeated application of a third current, to form a platinum deposit on the sensor electrode.

Physiological characteristic sensors and methods for forming such sensors

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Los Angeles, CA, United States of America

Raghavendhar Gautham