Abbott Diabetes Care Inc.

Cygnus, Inc.

Animas Technologies, LLC

Animas Corporation

Cyngnus, Inc.

Charles W Wei

Gary Alan Hayter

Marc Barry Taub

Russell O Potts

Matthew J Lesho

Erwin Satrya Budiman

Wesley Scott Harper

Timothy Christian Dunn

Janet A Tamada

Nathan Christopher Crouther

Ronald T Kurnik

Steven Waterhouse

Yalia Jayalakshmi

Mark Kent Sloan

Jonathan J Oliver

Michael J Tierney

Russell Ford

Jai Karan

Jonathan M Fern

Mark P Jesser

Matthew T Vogel

Lynn Dixon

Shashi P Desai

Kim Cullen

Kim Ladin

Jonathan James Oliver

Timothy S Gasperak

Tim S Gasperak

Methods and systems for delaying alarms that include detecting an analyte level using an analyte sensor; and delaying the annunciation of an analyte alarm after the analyte level crosses an analyte threshold, wherein the delay is based on one or both of (1) a magnitude of difference between the analyte level and the analyte threshold and (2) a duration of time in which the analyte level has crossed the analyte threshold.

Continuous glucose monitoring system

Usability features for integrated insulin delivery system

Systems comprising: an analyte sensor for providing an analyte signal representative of an analyte level; a controller in data communication with the analyte sensor and programmed to provide a recommended medication dose based on the analyte level and a medication type, the controller comprising a user interface for inputting the medication type; and a model-based safety mechanism integrated with the controller for evaluating the recommended medication dose. Wherein the model-based safety mechanism overrides the recommended medication dose and provides a safety medication dose when the model-based safety mechanism detects a risk of insulin deprivation.

Integrated insulin delivery system having safety features to prevent hypoglycemia

Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

Real time management of data relating to physiological control of glucose levels

Safety features are applied to an integrated insulin delivery system to enhance safety by controlling medication delivery including the automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, and terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted.

Analyte monitoring devices, systems, and methods are provided that relate to: enabling different application features on a data processing device for analyte monitoring devices with different analyte monitoring features; programming analyte monitoring devices in advance; personalizing an analyte monitoring device; graphically representing a remaining insulin level in a user body; and graphically representing analyte measurement related data for on-demand readings; protecting access to feature of an analyte monitoring device.

Devices, systems, and methods related to analyte monitoring and management

Various systems and methods for improving the usability of continuous glucose monitors and drug delivery pumps are described.

An integrated insulin delivery system having safety features for controlling medication delivery includes automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency, and controlling the delivery rate to take an asymmetrical bias range of a glucose sensor into account to avoid hypoglycemia.

Integrated insulin delivery system having delivery safety features

Methods and devices for providing computerized adjustment to therapy parameters using real time and retrospective data processing is provided. Embodiments include receiving a respective data set from an infusion device and an analyte monitoring device for a predetermined time duration, user notification and reminder of the predetermined time duration, time synchronizing the received respective data set, detecting one or more marked data from the one or more respective data set received, establishing one or more filtering criteria to filter of retrospective or historical data based on certain condition, performing automated data analysis based on the detected one or more marked data or the data achieving certain predetermined condition to generate a modification to a therapy profile, generating and modifying rules for profile modification, and providing the generated modification to the therapy profile for reporting and transmission.

Computerized determination of insulin pump therapy parameters using real time and retrospective data processing

Safety features are applied to an integrated insulin delivery system to enhance safety while accounting for glucose sensor bias and calibration errors. One safety feature includes comparisons of calibrations of the sensor to nominal sensitivity and taking action, such as limiting insulin delivery or taking a further calibration of the sensor. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted. Other features include steps taken to avoid hypoglycemia in the event that the sensor is negatively biased.

Safety features for integrated insulin delivery system

The invention relates generally to methods, systems, and devices for measuring the concentration of target analytes present in a biological system using a series of measurements obtained from a monitoring system and a Mixtures of Experts (MOE) algorithm. In one embodiment, the present invention describes a method for measuring blood glucose in a subject.

Method and device for predicting physiological values

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Fremont, CA, United States of America

Charles W Wei