Dexcom, Inc.

Anna Leigh Rack-Gomer

Apurv Ullas Kamath

Naresh Chandra Bhavaraju

Peter C Simpson

Stephen J Vanslyke

Thomas Arnold Peyser

Arturo Garcia

Michael J Estes

Leif N Bowman

Hari Hampapuram

Daiting Rong

Andrew Attila Pal

Sebastian Böhm

Disha B Sheth

Dmytro Sokolovsky

Claudio Cobelli

Andrea Facchinetti

Giovanni Sparacino

Chiara Zecchin

Eli Reihman

Aarthi Mahalingam

Sebastian Bohm

Lucas Bohnett

Michael Robert Mensinger

Jack Pryor

Katherine Yerre Koehler

Eric Cohen

Rian W Draeger

Paul D Kramer

Jorge Valdes

Thomas Hall

Paul Noble-Campbell

Lauren Hruby Jepson

Jonathan Hughes

David DeRenzy

Kenneth San Vicente

Indrawati Gauba

Alexandra Lynn Carlton

Katherine Yerre Grubstein

Michael A Bloom

Murrad Kazalbash

Ashley Hall

David S Derenzy

Alexander Steele

Naresh Bhavaraju

Paul Kramer

Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user's interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.

System and method for mode switching

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

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

Systems and methods for providing sensitive and specific alarms indicative of glycemic condition are provided herein. In an embodiment, a method of processing sensor data by a continuous analyte sensor includes: evaluating sensor data using a first function to determine whether a real time glucose value meets a first threshold; evaluating sensor data using a second function to determine whether a predicted glucose value meets a second threshold; activating a hypoglycemic indicator if either the first threshold is met or if the second threshold is predicted to be met; and providing an output based on the activated hypoglycemic indicator.

Systems and methods for dynamically and intelligently monitoring a host's glycemic condition after an alert is triggered

Systems and methods for providing sensitive and specific alarms

Growing community of inventors

Cardiff by the Sea, CA, United States of America

Anna Leigh Rack-Gomer