Dexcom, Inc.

Jorge Valdes

Michael Robert Mensinger

Eric Cohen

Mark Dervaes

Shawn Larvenz

Hari Hampapuram

Brian Christopher Smith

Jacob S Leach

Jose Hector Hernandez-Rosas

Indrawati Gauba

Apurv Ullas Kamath

David Price

Leif N Bowman

Aarthi Mahalingam

Eli Reihman

Douglas William Burnette

Aditya Sagar Mandapaka

Jeffrey R Wedekind

Naresh Chandra Bhavaraju

Phil Mayou

Andrew Attila Pal

Francis William Pascual

Kristin Koenekamp Cote

Arturo Garcia

Thomas Hall

Kevin Sayer

Murrad Kazalbash

Thomas Arnold Peyser

Gary A Morris

Basab Dattaray

Edward Day

Laurie L Berg

Conrad Woods

Neil Puri

Scott A Moss

Dana Minor

Esteban Cabrera, Jr

Nathaniel David Heintzman

Derek James Escobar

Peter C Simpson

Jack Pryor

Jason M Halac

Michael J Estes

Lauren Hruby Jepson

David DeRenzy

Kenneth San Vicente

Kostyantyn Snisarenko

Alexandra Lynn Carlton

Anna Leigh Rack-Gomer

Ashley Hall

Randy Tompot

David S Derenzy

Alexander Steele

Aditya Mandapaka

Dana Denea Minor

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, devices, and methods are disclosed for wireless communication of analyte data. One such method includes, during a first interval, establishing a first connection between an analyte sensor system and a display device. During the first connection, the method includes exchanging information related to authentication between the analyte sensor system and the display device. The method includes making a determination regarding whether authentication was performed during the first interval. During a second interval, the method may include establishing a second connection between the analyte sensor system and the display device for transmission of an encrypted analyte value, and bypassing the exchanging of information related to authentication performed during the first connection. The method also includes, during the second interval, the analyte sensor system transmitting the encrypted analyte value to the display device, if the determination indicates that the authentication was performed during the first interval.

System and method for wireless communication of glucose data

Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Machine learning in an artificial pancreas

The present disclosure relates to systems, devices and methods for receiving biosensor data acquired by a medical device, e.g., relating to glucose concentration values, and controlling the access and distribution of that data. In some embodiments, systems and methods are disclosed for monitoring glucose levels, displaying data relating to glucose values and metabolic health information, and controlling distribution of glucose data between applications executing on a computer, such as a smart phone. In some embodiments, systems and methods are disclosed for controlling access to medical data such as continuously monitored glucose levels, synchronizing health data relating to glucose levels between multiple applications executing on a computer, and/or encrypting data.

Systems and methods for distributing continuous glucose data

A system is provided for monitoring analyte in a host, including a continuous analyte sensor that produces a data stream indicative of a host's analyte concentration and a device that receives and records data from the data stream from the continuous analyte sensor. In one embodiment, the device includes a single point analyte monitor, from which it obtains an analyte value, and is configured to display only single point analyte measurement values, and not any analyte measurement values associated with data received from the continuous analyte sensor. Instead, data received from the continuous analyte sensor is used to provide alarms to the user when the analyte concentration and/or the rate of change of analyte concentration, as measured by the continuous analyte sensor, is above or below a predetermined range. Data received from the continuous analyte sensor may also be used to prompt the diabetic or caregiver to take certain actions, such as to perform another single point blood glucose measurement. In another embodiment, the device provides for toggling between two modes, with one mode that allows for display of glucose concentration values associated with the continuous glucose sensor and a second mode that prevents the display of glucose concentration values associated with the continuous glucose sensor.

Continuous analyte monitor data recording device operable in a blinded mode

Systems and methods for a continuous monitoring of analyte values received from an analyte sensor system are provided. One method for a wireless data communication between an analyte sensor system and a mobile device involves storing identification information associated with a transceiver of the analyte sensor system, the identification information entered by a user of the mobile device via a custom application running on the mobile device; causing the custom application to enter a background mode; searching for advertisement signals; receiving an advertisement signal from the transceiver; authenticating the transceiver based on the identification information; prompting the user to bring the custom application to a foreground mode; causing the custom application to request a confirmation from the user that a data connection with the transceiver is desired; receiving the confirmation from the user; and completing the data connection with the transceiver.

Systems and methods for a continuous monitoring of analyte values

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

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San Diego, CA, United States of America

Jorge Valdes