Abbott Diabetes Care Inc.

Glenn Howard Berman

Mark Kent Sloan

Gary Alan Hayter

Kenneth J Doniger

Michael R Love

Timothy Christian Dunn

Nathan Christopher Crouther

Wesley Scott Harper

Phillip Yee

R Curtis Jennewine

Annie C Tan

Erwin Satrya Budiman

Daniel Milfred Bernstein

Gil Porat

Marc Barry Taub

Geoffrey V McGarraugh

Howard A Wolpert

Saeed Nekoomaram

Xuandong Hua

Jean Mei Huang

Lei He

Thomas Arnold Peyser

Jeffery Mario Sicurello

Kurt E Leno

Erich Yen

Michael J Fullmer

Geoffrey V Mcgarraugh

John Dinh

Michael A Pani

Michael Pani

Curtis Jennewine

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 for the control of interfacing between applications that facilitate the monitoring of diabetes running on a mobile device, including the authentication of a third party user interface application by a sensor interface application. Control of the display of current analyte levels and critical events is also provided.

Application interface and display control in an analyte monitoring environment

Systems, devices, and methods are provided for the management of multiple sensor control devices and/or multiple reader devices in an in vivo analyte monitoring environment, and also for resolving conflicts when merging data collected by different reader devices.

Management of multiple devices within an analyte monitoring environment

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

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

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

Systems, devices and methods are provided that allow for enhanced performance, power efficiency, interoperability, data security and user privacy for in vivo analyte monitoring systems that utilize wireless communications. The in vivo analyte monitoring systems can include a Bluetooth or Bluetooth Low Energy enabled handheld relay device for wirelessly relaying analyte data between a sensor unit device and one or more reader devices. The in vivo analyte monitoring systems can employ advertisement and encryption schemes for wirelessly transmitting data in a manner that allows for improved security, efficiency and privacy.

Systems, devices, and methods for wireless communications in analyte monitoring systems

A method of providing treatment for a medical condition includes storing a plurality of closed loop control algorithms in memory accessible by the control unit and receiving. A control unit receives analyte data from an analyte sensor in communication with the control unit. The control unit controls a medication delivery device in accordance with the first closed loop control algorithm based on the analyte data. The control unit causes the medication delivery device to be controlled in accordance with the second closed loop control algorithm instead of the first closed loop control algorithm, and controlling the medication delivery device in accordance with the second closed loop control algorithm. The control unit is configured to transmit one or more closed loop control operations to control the medication delivery device.

Closed loop control system interface and methods

A method of calibrating an analyte measurement system is provided.

Calibration of analyte measurement system

System and method to manage diabetes based on glucose median, glucose variability, and hypoglycemic risk

Growing community of inventors

Alameda, CA, United States of America

Glenn Howard Berman