Dexcom, Inc.

Dexconi, Inc.

Dex Com, Inc.

James H Brauker

Apurv Ullas Kamath

Paul V Goode, Jr

Victoria E Carr-Brendel

Peter C Simpson

James Patrick Thrower

Mark C Brister

Aarthi Mahalingam

Mark Allan Tapsak

Paul V Neale

Jack Pryor

James R Petisce

Mark C Shults

Sean T Saint

Ben Xavier

Michael Robert Mensinger

Dubravka Markovic

J Michael Dobbles

John Michael Dobbles

Rathbun K Rhodes

Robert James Boock

Stuart J Updike

Matthew D Wightlin

Steve Masterson

Kum Ming Woo

John Nolting

Ying Li

Monica A Rixman

Rathburn K Rhodes

Andrew P Rasdal

Melissa A Nicholas

Paul Goode

Victor Ha

Vance Swanson

Arnold Holmquist

John Burd

Arpurv U Kamath

Sebastian Bohm

Laura A Martinson

Sebastian Böhm

Mohammad Ali Shariati

Mike Dobbles

Aarthi Mahlingam

Systems and methods for integrating a continuous glucose sensor, including a receiver, a medicament delivery device, a controller module, and optionally a single point glucose monitorare provided. Integration may be manual, semi-automated and/or fully automated.

Integrated insulin delivery system with continuous glucose sensor

Systems and methods for integrating a continuous glucose sensor, including a receiver, a medicament delivery device, and optionally a single point glucose monitor are provided. Manual integrations provide for a physical association between the devices wherein a user (for example, patient or doctor) manually selects the amount, type, and/or time of delivery. Semi-automated integration of the devices includes integrations wherein an operable connection between the integrated components aids the user (for example, patient or doctor) in selecting, inputting, calculating, or validating the amount, type, or time of medicament delivery of glucose values, for example, by transmitting data to another component and thereby reducing the amount of user input required. Automated integration between the devices includes integrations wherein an operable connection between the integrated components provides for full control of the system without required user interaction.

Integrated delivery device for continuous glucose sensor

A transcutaneous sensor device configured for continuously measuring analyte concentrations in a host is provided. In some embodiments, the transcutaneous sensor devicecomprises an in vivo portionconfigured for insertion under the skinof the host and an ex vivo portionconfigured to remain above the surface of the skinof the host after sensor insertion of the in vivo portion. The in vivo portion may comprise a tissue piercing elementconfigured for piercing the skinof the host and a sensor bodycomprising a material or support memberthat provides sufficient column strength to allow the sensor body to be pushable in a host tissue without substantial buckling. The ex vivo portionmay be configured to comprise (or operably connect to) a sensor electronics unit and may comprise a mounting unit. Also described here are various configurations of the sensor body and the tissue piercing element that may be used to protect the membrane of the sensor body.

Transcutaneous analyte sensor

Systems and methods for processing sensor analyte data are disclosed, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. The sensor can be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. Reference data resulting from benchtop testing an analyte sensor prior to its insertion can be used to provide initial calibration of the sensor data. Reference data from a short term continuous analyte sensor implanted in a user can be used to initially calibrate or update sensor data from a long term continuous analyte sensor.

System and methods for processing analyte sensor data for sensor calibration

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

Signal processing for continuous analyte sensor

The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous and subcutaneous measurement of glucose in a host.

Low oxygen in vivo analyte sensor

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as ischemia, pH changes, temperatures changes, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system replaces some or the entire data stream continually or intermittently including signal estimation methods that particularly address transient signal artifacts. The system is also capable of detecting the severity of the signal artifacts and selectively applying one or more signal estimation algorithm factors responsive to the severity of the signal artifacts, which includes selectively applying distinct sets of parameters to a signal estimation algorithm or selectively applying distinct signal estimation algorithms.

Systems and methods for replacing signal artifacts in a glucose sensor data stream

A system is provided for monitoring glucose in a host, including a continuous glucose sensor that produces a data stream indicative of a host's glucose concentration and an integrated receiver that receives the data stream from the continuous glucose sensor and calibrates the data stream using a single point glucose monitor that is integral with the integrated receiver. The integrated receiver obtains a glucose value from the single point glucose monitor, calibrates the sensor data stream received from the continuous glucose sensor, and displays one or both of the single point glucose measurement values and the calibrated continuous glucose sensor values on the user interface.

Integrated receiver for continuous analyte sensor

Systems and methods for detecting noise episodes and processing analyte sensor data responsive thereto. In some embodiments, processing analyte sensor data includes filtering the sensor data to reduce or eliminate the effects of the noise episode on the signal.

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Addison, MI, United States of America

James H Brauker