Medtronic Minimed, Inc.

Second Sight Medical Products, Inc.

Neha J Parikh

Anirban Roy

Benyamin Grosman

Di Wu

Louis J Lintereur

Patrick E Weydt

John Joseph Mastrototaro

Desmond Barry Keenan

Ali Dianaty

Rebecca K Gottlieb

Maria Diana Miller

Do Kim

Alexander S Campbell

David Dunleavy

Dmytro Y Sokolovskyy

Mikhail Loutseiko

Robert Jay Greenberg

Mark Salman Humayun

Kelly Hobart McClure

Arup Roy

Matthew J McMahon

Yuxiang Zhong

Chunhong Zhou

Salman Monirabbasi

James David Weiland

Alan Matthew Horsager

Francine R Kaufman

Peter Meilstrup

Katelijn Vleugels

Ulrich H Rankers

Lavie Golenberg

Steven J Vargas

Mahta Sadeghzadeh

David Legray

Ohad Cohen

Scott W Lee

Peter Onesti

Techniques disclosed herein relates generally to default carbohydrate consumption counts based on population carbohydrate consumption models. In one example, the techniques involve receiving, from a device, at least one characteristic of a person; accessing a population carbohydrate consumption model which relates the at least one characteristic with carbohydrate intake for a population; determining, based on applying the population carbohydrate consumption model to the at least one characteristic, at least one of: a preliminary carbohydrate count for the person or a default carbohydrate consumption count for the person; and causing delivery of insulin to the person based on communicating, to the device, at least one of: the preliminary carbohydrate count for the person or the default carbohydrate consumption count for the person.

Default carbohydrate consumption counts based on population carbohydrate consumption models

Techniques disclosed herein relate to safe correction boluses. In some embodiments, the techniques involve predicting a future glucose level that would result from delivery of a correction bolus. The techniques may also involve comparing the future glucose level to a threshold level for hypoglycemia. The techniques may further involve causing delivery of the correction bolus when the future glucose level is above the threshold level for hypoglycemia.

Safe correction boluses

Disclosed herein are techniques related to determination of adjustments to fluid delivery settings. In some embodiments, the techniques may involve accessing insulin delivery data for a user of an insulin delivery device. The insulin delivery data may be indicative of an amount of insulin delivered by the insulin delivery device to the user during a time period. The techniques may also involve analyzing the insulin delivery data to generate an updated insulin sensitivity factor (ISF) value. The techniques may further involve generating, based on the updated ISF value, a recommendation to adjust an ISF value of the insulin delivery device. Additionally, the techniques may involve causing adjustment of the ISF value to the updated ISF value in accordance with the recommendation.

Determination of adjustments to fluid delivery settings

Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device. The techniques may further involve causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

Continuous analyte sensor quality measures and related therapy actions for an automated therapy delivery system

Techniques disclosed herein relate to providing guidance for configuring a medical device to a user in response to detected gestures of the user. In some embodiments, the techniques involve obtaining sensor data indicative of one or more gestures of a user of a medical device, and detecting a configuration procedure being performed on the medical device by the user based on the sensor data, where the configuration procedure includes a sequence of tasks to be performed by the user to configure the medical device. The techniques also involve determining one or more tasks of the configuration procedure that have been performed by the user based on the sensor data, identifying a subsequent task of the configuration procedure to be performed by the user based on the one or more tasks, and generating guidance information for performing the subsequent task of the configuration procedure.

Medical device configuration procedure guidance responsive to detected gestures

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a body of a user involves obtaining measurement values for a physiological condition influenced by the fluid, autonomously operating the infusion device to deliver the fluid based at least in part on the measurement values, and detecting a nonactionable condition based on the measurement values. In response to detecting the nonactionable condition, delivery of the fluid is limited while maintaining autonomous operation of the infusion device. In one exemplary embodiment, the nonactionable condition is a rescue condition indicative of the user having consumed fast-acting carbohydrates, and thus insulin delivery may be automatically limited in response to detecting the rescue carbohydrate consumption.

Infusion devices and related rescue detection methods

Techniques disclosed herein involve automatically adjusting a control parameter for an operating mode of a medical device. In some embodiments, the techniques involve obtaining data pertaining to a physiological condition of a patient during operation of the medical device. In some embodiments, the techniques further involve determining an optimized value for the control parameter using the data pertaining to the physiological condition of the patient and a cost function, wherein the cost function disproportionately penalizes for an amount of time that a physiological parameter is below a lower bound of a target range and includes a first weighting factor that is dependent on an amount of time that the physiological parameter is outside of the target range, and a second weighting factor, different from the first weighting factor, dependent on the amount of time that the physiological parameter is below the lower bound of the target range.

Personalized closed loop optimization systems and methods

Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

Regulating delivery of insulin to a body of a user by a fluid delivery device

Disclosed are techniques related to determination of adjustments to fluid delivery settings. The techniques may involve accessing an input meal size category, where the input meal size category is selected from among a plurality of meal size categories via a user interface; accessing a plurality of groups of historical meal events for a person, where each group of the plurality of groups is associated with a respective meal size category of the plurality of meal size categories and includes respective historical meal events for the person categorized in the respective meal size category; identifying a group, in the plurality of groups of historical meal events for the person, having an associated meal size category that matches the input meal size category; identifying a person-specific carbohydrate amount representative of the historical meal events in the identified group; and determining a bolus dosage value of insulin based on the person-specific carbohydrate amount.

Disclosed herein are techniques related to configurable target values. The techniques may involve identifying a target glucose value obtained based on user input. Additionally, the techniques may involve determining a fluid delivery command based on a difference between a measured glucose value and the target glucose value. The techniques may further involve causing fluid delivery by a fluid infusion device in accordance with the fluid delivery command to regulate the measured glucose value to the target glucose value.

Configurable target values

Disclosed herein are techniques related to automatically adjusting at least one parameter of an insulin delivery controller of an insulin delivery device to regulate delivery of insulin to a user. In some embodiments, the techniques may involve obtaining therapy-related data associated with operation of the insulin delivery device for a number of days in the past. The therapy-related data including sensor glucose data for the user and meal data for the user. The techniques may also involve determining at least one adjusted parameter for the insulin delivery controller based on the therapy-related data. Additionally, the techniques may involve causing the insulin delivery controller to adjust at least one setting in accordance with the determined at least one adjusted parameter.

Disclosed herein are techniques related to management of insufficient hypoglycemia response. In some embodiments, the techniques may involve obtaining an amount of insulin remaining in a body of a patient. The techniques may involve also obtaining a quantity of insulin needed by the patient within a future time period. Additionally, the techniques may involve identifying a condition in which the patient's glucose level will continue to decrease during the future time period despite suspension of basal insulin dosage delivery. The condition may be identified based on determining that the amount of insulin remaining in the body is greater than the quantity of insulin needed by the patient within the future time period. Furthermore, the techniques may involve, responsive to identifying the condition, causing performance of an action for preventing the patient's glucose level from falling into a hypoglycemic range in combination with the suspension of basal insulin dosage delivery.

Management of insufficient hypoglycemia response

A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of obtaining a first target value for a glucose level of a patient, modifying a glucose setpoint from a second target value to the first target value, and regulating the glucose level of the patient to the modified glucose setpoint based on controlling insulin delivery by an insulin infusion device.

Configurable target glucose values

A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of: associating a medical device with an intermediate device, obtaining, from the medical device via the intermediate device, measurement data correlative to a condition of a user, determining updated control information for the medical device based at least in part on the measurement data, and streaming the updated control information to the medical device via the intermediate device.

Streamed communication of updated control information to a medical device via an intermediate device

Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a current sensor-generated value that is indicative of a physiological characteristic of a user of a medical device, the current sensor-generated value produced in response to operation of a continuous analyte sensor device. The techniques may further involve obtaining a sensor quality metric that indicates accuracy of the current sensor-generated value. The techniques may further involve causing, in response to obtaining the sensor quality metric, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising separate regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric. The techniques may further involve causing regulation of fluid medication delivery from the medical device, in accordance with the current sensor-generated value and the quality-specific operating mode of the medical device.

Growing community of inventors

West Hills, CA, United States of America

Neha J Parikh