Abbott Diabetes Care Inc.

Cygnus, Inc.

Animas Technologies, LLC

Animas Corporation

Cyngnus, Inc.

Timothy Christian Dunn

Gary Alan Hayter

Wesley Scott Harper

Kenneth J Doniger

Erwin Satrya Budiman

Nathan Christopher Crouther

Glenn Howard Berman

Annie C Tan

R Curtis Jennewine

Mark Kent Sloan

Phillip Yee

Daniel Milfred Bernstein

Michael R Love

Marc Barry Taub

Janet A Tamada

Russell O Potts

Matthew J Lesho

Ronald T Kurnik

Howard A Wolpert

Eric L Davis

Charles W Wei

Steven Waterhouse

Mani Gopal

Yalia Jayalakshmi

Brittany K Bradrick

Todd Winkler

Joel Goldsmith

Jai Karan

Stephen A Rossi

Christine M Neuhaus

Bret Berner

Jonathan J Oliver

Michael J Tierney

Justin N Williams

William Koo Lee

Michael D Garrison

Kathleen C Farinas

Sujit R Jangam

Claire A Cunningham

Yashesvini V Ram

Thomas Arnold Peyser

Geoffrey V McGarraugh

Steve Scott

Yongjin Xu

Shashi P Desai

Jonathan James Oliver

Panganamala Ashwin Kumar

Kerstin Rebrin

Erich Yen

Glenn Berman

Geoffrey V Mcgarraugh

Michael A Pani

Michael Pani

Curtis Jennewine

Systems, devices, and methods for detecting, measuring and classifying meals for an individual based on analyte measurements. These results and related information can be presented to the individual to show the individual which meals are causing the most severe analyte response. These results can be organized and categorized based on preselected criteria or previous meals and results so as to organize and present the results in a format with reference to glucose as the monitored analyte. Various embodiments disclosed herein relate to methods, systems, and software applications intended to engage an individual by providing direct and timely feedback regarding the individual's meal-related glycemic response.

Systems, devices, and methods for meal information collection, meal assessment, and analyte data correlation

Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.

Displays for a medical device

Systems, devices, and methods are provided that allow detection of episodes in analyte measurement, prompting a patient to self-report possible causes for the episodes. Correlation of possible causes with detected episodes assists patient behavior modification to reduce the occurrence of episodes.

Systems, devices, and methods for episode detection and evaluation

A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Systems and methods for use of insulin information for meal indication

Method and apparatus for optimizing analyte sensor calibration including receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period, and overriding the upcoming scheduled calibration event using the current blood glucose measurement are provided.

Optimizing analyte sensor calibration

A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Analysis of glucose median, variability, and hypoglycemia risk for therapy guidance

Methods and system to provide glycemic control and therapy management based on monitored glucose data, and current and/or target HbA1C levels are provided.

Method and apparatus for providing glycemic control

Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

Software applications residing on handheld analyte determining devices

A glucose monitoring system includes a sensor control device comprising an analyte sensor coupled with sensor electronics, the sensor control device configured to transmit data indicative of an analyte level, and a reader device comprising a wireless communication circuitry configured to receive the data indicative of the analyte level, and one or more processors coupled with a memory. The memory is configured to store instructions that, when executed by the one or more processors, cause the one or more processors to: determine a frequency of interaction over a first time period based on one or more instances of user operation of the reader device, and output a first notification if the determined frequency of interaction is below a predetermined target level of interaction and output a second notification if the determined frequency of interaction is above the predetermined target level of interaction, wherein below the predetermined target level of interaction, an increase in the determined frequency of interaction corresponds to a first improvement in a metabolic parameter, and above the predetermined target level of interaction, an increase in the determined frequency of interaction corresponds to a second improvement in the metabolic parameter.

Systems, devices, and methods of analyte monitoring

Methods, devices, and systems may use a kinetic model to determine physiological parameters related to the kinetics of red blood cell glycation, elimination, and generation. Such physiological parameters can be used, for example, to determine a more reliable calculated HbA1c. In another example, a method may comprise: receiving a plurality of glucose levels over a time period; receiving a glycated hemoglobin (HbA1c) level corresponding to an end of the time period; determining at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (k), a red blood cell generation rate constant (k), a red blood cell elimination constant (k), and an apparent glycation constant (K), based on (1) the plurality of glucose levels and (2) the HbA1c level; and adjusting a glucose level target based on the at least one physiological parameter.

Methods, devices, and systems for physiological parameter analysis

Display screen or portion thereof with graphical user interface for continuous glucose monitoring

Growing community of inventors

San Francisco, CA, United States of America

Timothy Christian Dunn