Abbott Diabetes Care Inc.

University of Virginia

Cambridge Enterprise Limited

Erwin Satrya Budiman

Gary Alan Hayter

Kenneth J Doniger

Timothy Christian Dunn

Wesley Scott Harper

Nathan Christopher Crouther

Daniel Milfred Bernstein

Marc Barry Taub

John Charles Mazza

Songbiao Zhang

Glenn Howard Berman

Mark Kent Sloan

Charles W Wei

Michael R Love

Howard A Wolpert

Udo Hoss

Boris P Kovatchev

Marc D Breton

Martin J Fennell

Hyun Brian Cho

Jean-Pierre Cole

Christopher Allen Thomas

Xuandong Hua

David L Li

Junli Ou

Theodore John Kunich

Royce Cheng

Jai Karan

Roman Hovorka

Malgorzata E Wilinska

Mani Gopal

Steve Scott

Eric L Davis

Todd Winkler

Brittany K Bradrick

Claire Bhogal

Steven Scott

David B Dunger

Marc B Taub

Glenn Berman

Methods of compensating for ambient temperature using temperature sensors, the method comprising: sampling at a first sampling rate, with a processor, first temperature measurements from a first temperature sensor on an on-body sensor. Then determining, with a processor, first ambient-compensated temperatures from the first temperature measurements; and determining, with a processor, final ambient-compensated temperatures by applying a correction gain or factor to the first ambient-compensated temperatures. Wherein the correction gain or factor changes value at a slower rate than the sampling rate.

Temperature-compensated analyte monitoring devices, systems, and methods thereof

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

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

Systems, methods and apparatus are provided for rejecting noise from sparsely sampled analyte sensor data. Embodiments of the present disclosure include receiving a raw set of sensor data from an on-body device including an in vivo analyte sensor, determining an interpolation-based estimate of an analyte level over time based on the raw set of sensor data, determining an extrapolation-based estimate of the analyte level over time based on the raw set of sensor data, determining a combined estimate of the analyte level over time based on the interpolation-based estimate and the extrapolation-based estimate, and displaying a representation of the combined estimate of the analyte level over time on an output device. Numerous additional aspects are disclosed.

Noise rejection methods and apparatus for sparsely sampled analyte sensor data

Method, system and computer program product for providing real time detection of analyte sensor sensitivity decline is continuous glucose monitoring systems are provided.

Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors

Methods, devices, and systems are provided for correcting lag in measurements of glucose concentration level in interstitial fluid. A method includes defining a scaling factor for lag correction, receiving glucose data from the glucose sensor, the sensor data including historical glucose sensor data over a plurality of intervals, defining a probability density function of the glucose data over at least a portion of one of the plurality of intervals, determining a value of the scaling factor based on the probability density function and a normalized analyte variability ratio, and computing lag corrected values based on the determined value of the scaling factor. Numerous additional features are disclosed.

Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data

Systems, devices and methods for the management of glucose levels in the body of patient featuring user interface input mechanisms configured to provide haptic feedback to the user are provided.

Systems, devices and methods for managing glucose levels

Methods and devices to detect analyte in body fluid are provided. Embodiments include processing sampled data from analyte sensor, determining a non-attenuated sensitivity value associated with the analyte sensor, determining a representative sensitivity of the sensor for each group of multiple groups of data points from the analyte sensor, wherein the representative sensitivity is based on the corresponding sensitivities of pairs of data points in the group, selecting one or more of the representative sensitivities based on the selected representative sensitivities satisfying one or more criteria, determining a non-attenuated sensitivity based on a weighted average of the selected representative sensitivities, and applying the determined non-attenuated sensitivity to the data points obtained from the analyte sensor to estimate an analyte level.

Method and device for providing offset model based calibration for analyte sensor

Method, device and system for providing consistent and reliable glucose response information to physiological changes and/or activities is provided to improve glycemic control and health management.

System, device and method of dynamic glucose profile response to physiological parameters

Embodiments that compensate for changes to sensor response characteristics (e.g., sensitivity) due to time durations are disclosed. The time durations can be the amount of time the sensor is in a post-manufacture packaged state prior to use, or the amount of time the sensor is in use. Sensor response changes due to other variables can also be compensated for.

Systems, devices, and methods with duration-based adjustment of sensor data

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

Methods, devices, systems, and computer program products are provided to improve sensitivity calibration of an in vivo analyte sensor and usability of an associated analyte monitoring system. In certain embodiments, methods are provided that improve the user experience of using an analyte monitoring system. Certain embodiments of the present disclosure include features that reduce the amount of calibration or re-calibration performed by the analyte monitoring system. More specifically methods of using a suspect calibration attempt to avoid having to recalibrate by adjusting the calibration or mitigating effects of sensor signal attenuation that caused the calibration attempt to be suspect are provided. Additional features are disclosed.

Sensitivity calibration of in vivo sensors used to measure analyte concentration

Systems for the delivery of insulin to a patient, the system comprising: a continuous glucose sensor configured to provide a glucose level signal representative of sensed glucose; an insulin delivery device configured to deliver insulin in response to delivery control signals at a basal rate and as a bolus; and a controller programmed to receive the sensor glucose level signal and to provide a delivery control signal to an insulin delivery device to suspend a basal delivery rate during the provision of a bolus delivery and to automatically resume a preprogrammed basal delivery rate after a selected event.

Integrated insulin delivery system having safety features to prevent hypoglycemia

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Fremont, CA, United States of America

Erwin Satrya Budiman