Dexcom, Inc.

Via Medical Corporation

Daiting Rong

Peter C Simpson

Sebastian Bohm

Sebastian Böhm

Apurv Ullas Kamath

Matthew D Wightlin

Thomas Arnold Peyser

Naresh Chandra Bhavaraju

Jack Pryor

Jacob S Leach

Michael J Estes

Arturo Garcia

Stephen J Vanslyke

Andrew Attila Pal

Sean T Saint

Aarthi Mahalingam

Paul V Neale

Leif N Bowman

Shawn Larvenz

Mark Dervaes

Mark C Brister

Jason M Halac

Jennifer Blackwell

Anna Leigh Davis

Ying Li

Robert James Boock

Hari Hampapuram

Lauren Hruby Jepson

Ted Tang Lee

David A Buse

John Nolting

Aditya Sagar Mandapaka

Vance Swanson

Disha B Sheth

Rui Ma

Jeff Jackson

Phong Lieu

Tom Miller

Jason Mitchell

Kenneth San Vicente

Eric Johnson

Mohammad Ali Shariati

Dmytro Sokolovsky

Wenjie Lan

Anna Claire Harley-Trochimczyk

Minglian Shi

Vincent Peter Crabtree

Anna Leigh Rack-Gomer

Shanger Wang

Jonathan Hughes

Becky L Clark

Chris W Dring

Zebediah L McDaniel

Nicholas Kalfas

David I-Chun Lee

Kamuran Turksoy

Alexander Leroy Teeter

David K Wong

Curtis Hanson

Liang Wang

Thomas Robert Porter

Laurel Savage

Jake Leach

Ken San Vicente

Mohammed Ali Shariati

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

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Advanced analyte sensor calibration and error detection

The present invention relates generally to systems and methods for processing, transmitting, and displaying data received from continuous analyte sensor, such as a glucose sensor. In some embodiments, the continuous analyte sensor system comprises a sensor electronics module that includes power saving features. One feature includes a low power measurement circuit that can be switched between a measurement mode and a low power mode, in which charging circuitry continues to apply power to electrodes of a sensor during the low power mode. In addition, the sensor electronics module can be switched between in a low power storage mode higher power operational mode via a switch. The switch can include a reed switch or optical switch, for example. A validation routine can also be implemented to ensure an interrupt signal sent from the switch is valid. The continuous analyte sensor can be physically connected to a sensor electronics module, which is in direct wireless communication with a plurality of different display devices.

Advanced continuous analyte monitoring system

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.

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

Disclosed herein are devices, systems, and methods for a continuous analyte sensor, such as a continuous glucose sensor. In certain embodiments disclosed herein, various in vivo properties of the sensor's surroundings can be measured. In some embodiments, the measured properties can be used to identify a physiological response or condition in the body. This information can then be used by a patient, doctor, or system to respond appropriately to the identified condition.

Implantable sensor devices, systems, and 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

Various examples are directed to a glucose sensor comprising a working electrode to support an oxidation reaction and a reference electrode to support a redox reaction. The reference electrode may comprise silver and silver chloride. The Glucose sensor may also comprise an anti-mineralization agent positioned at the reference electrode to reduce formation of calcium carbonate at the reference electrode.

Analyte sensor electrode arrangements

Growing community of inventors

San Diego, CA, United States of America

Daiting Rong