Dexcom, Inc.

Aarthi Mahalingam

Apurv Ullas Kamath

James H Brauker

Jack Pryor

Peter C Simpson

Paul V Goode, Jr

John Michael Dobbles

Hari Hampapuram

Ying Li

Naresh Chandra Bhavaraju

Thomas Arnold Peyser

Arturo Garcia

Matthew D Wightlin

Michael Robert Mensinger

Stephen J Vanslyke

Mohammad Ali Shariati

Mark C Brister

Eli Reihman

Katherine Yerre Koehler

Phil Mayou

Leif N Bowman

Sebastian Bohm

Anna Leigh Davis

J Michael Dobbles

Rian W Draeger

Brian Christopher Smith

Esteban Cabrera, Jr

Laura J Dunn

Jorge Valdes

Dmytro Sokolovskyy

Paul V Neale

Jacob S Leach

Shawn Larvenz

Mark Dervaes

Daiting Rong

Michael J Estes

Andrew Attila Pal

Thomas Hall

Phong Lieu

Tom Miller

Kenneth San Vicente

Basab Dattaray

Eric Johnson

Lucas Bohnett

Sean T Saint

James R Petisce

John Nolting

Steve Masterson

Vance Swanson

Gary A Morris

Philip Thomas Pupa

Scott M Belliveau

Alexandra Elena Constantin

Tomas C Walker

Matthew Lawrence Johnson

Alexandra Lynn Carlton

Peter Galuardi

Eric Cohen

Sebastian Böhm

David Price

Edward Day

Conrad Woods

Murrad Kazalbash

Kevin Sayer

Dana Minor

Scott A Moss

Laurie L Berg

Neil Puri

Nicholas Polytaridis

Kum Ming Woo

Melissa A Nicholas

Anna Leigh Rack-Gomer

Victor Ha

Michael Levozier Moore

Derek James Escobar

Esteban Cabrera

Robert James Boock

Katherine Yerre Grubstein

Mike Dobbles

Katherine Yerre Kohler

David Derenzy

Alexander Steele

Ashley Hall

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

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

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Systems and methods for processing sensor data

Systems and methods that continuously adapt aspects of a continuous monitoring device based on collected information to provide an individually tailored configuration are described. The adaptations may include adapting the user interface, the alerting, the motivational messages, the training, and the like. Such adaptation can allow a patient to more readily identify and understand the information provided by/via the device.

Adaptive interface for continuous monitoring devices

Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.

Systems and methods for processing analyte sensor data

Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Systems and methods for technical support of continuous analyte monitoring and sensor systems

Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Systems and methods for managing glycemic variability

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 processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

End of life detection for analyte sensors

Disclosed are systems and methods for secure and seamless set up and modification of bolus calculator parameters for a bolus calculator tool by a health care provider (HCP). In one aspect, a method for enabling HCP set up of a bolus calculator includes providing a server accessible by both an HCP and a patient; upon login by the HCP, displaying, or transmitting for display, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters; receiving data from the fillable form, the data corresponding to one or more bolus calculator parameters; and upon login by the patient, transmitting data to a device associated with the patient, the transmitted data based on the received data, where the transmitted data corresponds to one or more of the bolus calculator parameters in a format suitable for entry to a bolus calculator.

Systems and methods for CGM-based bolus calculator for display and for provision to medicament delivery devices

Growing community of inventors

San Diego, CA, United States of America

Aarthi Mahalingam