Dexcom, Inc.

Disha B Sheth

Peter C Simpson

Sebastian Bohm

Daiting Rong

Michael J Estes

Sebastian Böhm

Leif N Bowman

Naresh Chandra Bhavaraju

Arturo Garcia

Stephen J Vanslyke

Andrew Attila Pal

Sean T Saint

Jennifer Blackwell

Apurv Ullas Kamath

Thomas Arnold Peyser

Jason M Halac

Ted Tang Lee

Hari Hampapuram

Jack Pryor

Paul V Neale

Ryan Everett Schoonmaker

John Michael Gray

Anna Leigh Davis

Maria Noel Brown Wells

Michael Robert Mensinger

Eli Reihman

Katherine Yerre Koehler

Eric Cohen

Matthew D Wightlin

Phil Mayou

Douglas William Burnette

Aditya Sagar Mandapaka

David A Keller

Minglian Shi

Rui Ma

Jason Mitchell

Anna Claire Harley-Trochimczyk

Kamuran Turksoy

Shanger Wang

Jeff Jackson

Dmytro Sokolovsky

Vincent Peter Crabtree

Anna Leigh Rack-Gomer

Wenjie Lan

Neel Narayan Shah

Todd Andrew Newhouse

Jiong Zou

Michael Levozier Moore

John Patrick Majewski

Leah Morta Edra

Lauren Hruby Jepson

Jonathan Hughes

Becky L Clark

David DeRenzy

Chris W Dring

Zebediah L McDaniel

Andrew Michael Reinhardt

Nicholas Kalfas

Liang Wang

David I-Chun Lee

Alexander Leroy Teeter

Matt Vogel

Jim Stephen Amidei

Maria Neol Brown Wells

Katherine Yerre Kohler

This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Systems, devices, and methods to compensate for temperature effects on sensors

Various examples described herein are directed to systems and methods for determining an analyte concentration using an analyte sensor. A method may comprise disconnecting an analyte sensor from a measurement circuit and reconnecting the analyte sensor to the measurement circuit after an accumulation period. The method may comprise receiving a signal from the analyte sensor. The signal may be indicative of an amount of charge accumulated on the analyte sensor during the accumulation period. The method may also comprise determining an estimated analyte concentration level based on the received signal.

Analyte sensor with impedance determination

Various examples are directed to systems and methods for operating an analyte sensor system using sensor electronics. An example method may comprise applying a bias voltage change to an analyte sensor bias voltage and measuring a current value for each of a plurality of time periods after application of the bias voltage change. The example method may also comprise determining an estimated impedance using the current values for the plurality of time periods and determining a characteristic of the analyte sensor using the estimated impedance. The example method may further comprise receiving from the analyte sensor a signal indicative of an analyte concentration, and determining an estimated analyte concentration level using the determined characteristic of the analyte sensor and the received signal.

Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.

Fault discrimination and responsive processing based on data and context

Various examples are directed to systems and methods of and using analyte sensors. An example analyte sensor system comprises an analyte sensor and a hardware device in communication with the analyte sensor. The hardware device may be configured to perform operations comprising applying a first bias voltage to the analyte sensor, the first bias voltage less than an operational bias voltage of the analyte sensor, measuring a first current at the analyte sensor when the first bias voltage is applied, and applying a second bias voltage to the analyte sensor. The operations may further comprise measuring a second current at the analyte sensor when the second bias voltage is applied, detecting a plateau bias voltage using the first current and the second current, determining that the plateau bias voltage is less than a plateau bias voltage threshold, and executing a responsive action at the analyte sensor.

Sensor systems can be used to measure an analyte concentration. Sensor systems can include a base having a distal side configured to face towards a person's skin. An adhesive can couple the base to the skin. A transcutaneous analyte measurement sensor can be coupled to the base and can be located at least partially in the host. A transmitter can be coupled to the base and can transmit analyte measurement data to a remote device.

Transcutaneous analyte sensor systems and methods

Various examples described herein are directed to systems and methods of detecting damage to an analyte sensor using analyte sensor impedance values. In some examples, a method of assessing sensor membrane integrity using sensor electronics comprises determining an impedance parameter of an analyte sensor and determining a membrane integrity state of the analyte sensor based on the impedance parameter.

Sensor devices including dissolvable tissue-piercing tips are provided. The sensor devices can be used in conjunction with dissolvable needles configured for inserting the sensor devices into a host. Hardening agents for strengthening membranes on sensor devices are also provided. Methods of using and fabricating sensor devices are also provided.

Sensors for continuous analyte monitoring, and related methods

Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Automatic analyte sensor calibration and error detection

Sensors for continuous analyte monitoring

Growing community of inventors

Oceanside, CA, United States of America

Disha B Sheth