Medtronic Minimed, Inc.

Yuxiang Zhong

Pratik J Agrawal

Xiaolong Li

Boyi Jiang

Huzefa F Neemuchwala

Ning Yang

Andrea Varsavsky

Mike C Liu

Chantal M McMahon

Sinu Bessy Abraham

Michael P Stone

Siddharth Arunachalam

Benyamin Grosman

Ali Dianaty

Kevin E Velado

Rajiv Shah

Anirban Roy

Neha J Parikh

Louis J Lintereur

Di Wu

Bradley Chi Liang

Salman Monirabbasi

Keith Nogueira

Patrick E Weydt

Brian T Kannard

Maria Diana Miller

John L Hoebing

Anupam Phukan

Afshin Bazargan

Arthur Mikhno

Valerie Dormant

Amit J Rushi

Kelly F Joy

A medicine injection pen includes a body, a drive member, a cartridge housing, and a medicine cartridge retained within the cartridge housing. The drive member is configured to move relative to the body and the medicine cartridge defines an interior volume configured to retain a liquid medicine. The drive member is configured to translate a piston within the interior volume toward a dispensing end of the medicine cartridge to dispense at least some of the liquid medicine. The medicine cartridge also includes an insertion port configured to receive a medicine dispensing element therethrough for dispensing a liquid medicine into the interior volume to replace at least some of the liquid medicine dispensed through the dispensing end. Dispensing of the liquid medicine into the interior volume of the medicine cartridge applies a fluid pressure to the piston to translate the piston away from the dispensing end of the medicine cartridge.

Injection pens for medicine administration

Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary method of querying a database involves receiving an input query from a client device, identifying a logical layer of a plurality of different logical layers of the database for searching based at least in part on the input query, generating a query statement for searching the identified logical layer of the plurality of different logical layers of the database based at least in part on the input query, querying the identified logical layer of the database using the query statement to obtain result data, and providing a search result influenced by the result data.

Patient data management systems and conversational interaction methods

Methods and systems for sensor calibration and sensor glucose (SG) fusion are used advantageously to improve the accuracy and reliability of orthogonally redundant glucose sensor devices, which may include optical and electrochemical glucose sensors. Calibration for both sensors may be achieved via fixed-offset and/or dynamic regression methodologies, depending, e.g., on sensor stability and Isig-Ratio pair correlation. For SG fusion, respective integrity checks may be performed for SG values from the optical and electrochemical sensors, and the SG values calibrated if the integrity checks are passed. Integrity checks may include checking for sensitivity loss, noise, and drift. If the integrity checks are failed, in-line sensor mapping between the electrochemical and optical sensors may be performed prior to calibration. The electrochemical and optical SG values may be weighted (as a function of the respective sensor's overall reliability index (RI)) and the weighted SGs combined to obtain a single, fused SG value.

Glucose sensor system

Techniques for glucose level management are disclosed. In some examples, the techniques may involve obtaining an estimated protein value for a meal and determining an equivalent carbohydrate value for the meal based on the estimated protein value. In some examples, the techniques may involve obtaining an estimated fat value for a meal and determining, based on the estimated fat value, a glucose absorption rate resulting from consumption of the meal. In some examples, the equivalent carbohydrate value and/or the glucose absorption rate may be used to determine an amount of insulin to deliver to a patient to counteract a glucose level increase caused by consumption of the meal. The techniques may further involve generating an output indicative of the amount of insulin to deliver to the patient to counteract the glucose level increase caused by consumption of the meal.

Glucose level management based on fat content of meals

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

Glucose level management based on protein content of meals

Techniques for detection of occurrence of a meal are provided. In some embodiments, the techniques may involve obtaining a plurality of glucose measurements indicative of a glucose level in a body of a patient during an analysis interval. The techniques may involve determining one or more glucose measurement statistics based on the plurality of glucose measurements. The techniques may involve determining a likelihood of the patient having consumed a meal during the analysis interval based on the one or more glucose measurement statistics that are correlative to an occurrence of a meal for the patient. The techniques may involve detecting an occurrence of the meal during the analysis interval based on the likelihood of the patient having consumed the meal during the analysis interval.

Personalized event detection

Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary infusion device includes an actuation arrangement operable to deliver fluid to a user, a communications interface to receive measurement data indicative of a physiological condition of the user, a sensing arrangement to obtain contextual measurement data, and a control system coupled to the actuation arrangement, the communications interface and the sensing arrangement to determine a command for autonomously operating the actuation arrangement in a manner that is influenced by the measurement data and the contextual measurement data and autonomously operate the actuation arrangement in accordance with the command to deliver the fluid to the user.

Context-sensitive infusion devices, systems and methods

Disclosed herein are techniques related to dynamic forecasts. The techniques may involve obtaining, from a medical device, measurement data for a patient; forecasting a plurality of values for a condition of the patient based on a forecasting model and the obtained measurement data; providing a graphical user interface depicting the plurality of forecasted values and comprising a plurality of adjustable graphical user interface elements, each associated with a time period and an activity or event likely to influence the condition; obtaining an adjustment to a first adjustable graphical user interface element; in response to obtaining the adjustment to the first adjustable graphical user interface element, updating at least one of the forecasted values based on the adjustment to the first adjustable graphical user interface element, the obtained measurement data, and the forecasting model; and dynamically updating the graphical user interface to reflect the updated at least one forecasted value.

Dynamic forecasts

A processor-implemented method includes causing fluid delivery to a patient based on a first value for a control parameter, identifying a second value for the control parameter based on a determination that a current operational context is associated with the second value, and causing fluid delivery to the patient based on the second value for the control parameter in lieu of the first value for the control parameter.

Contextual adjustment of control parameters

Systems, storage media and computer-readable media are provided for translating one or more therapy parameters of a first insulin therapy system to one or more translated therapy parameters for use at a second insulin therapy system that is different than the first insulin therapy system. A therapy profile generated at the first insulin therapy system can be send to a translation service. The therapy profile includes one or more therapy parameters. At least one therapy parameter from the therapy profile can be translated into at least one translated therapy parameter that is mapped to and adapted for use by the second insulin therapy system. The at least one translated therapy parameter can then be sent to the second insulin therapy system for use at the second insulin therapy system.

Translating therapy parameters of an insulin therapy system to translated therapy parameters for use at a different insulin therapy system

A processor-implemented method includes identifying a reference insulin absorption curve for a patient based on demographic data of the patient, identifying a contextual adjustment factor based on current contextual information for the patient, obtaining an adjusted insulin absorption curve based on the reference insulin absorption curve and the contextual adjustment factor, and causing insulin delivery to the patient based on the adjusted insulin absorption curve.

Contextual adjustment of insulin absorption curves

Disclosed herein are techniques related to personalized event detection. In some embodiments, the techniques may involve obtaining a plurality of glucose measurements indicative of a glucose level in a body of a patient during an analysis interval, obtaining a patient-specific meal detection model that identifies one or more glucose measurement statistics that are correlative to occurrence of a meal for the patient, determining values for the one or more glucose measurement statistics based on the plurality of glucose measurements, determining a meal consumption metric based on the values for the one or more glucose measurement statistics, detecting an occurrence of the meal during the analysis interval based on the meal consumption metric, and in response to detecting the occurrence of the meal, providing an indication of the occurrence of the meal during with the analysis interval.

Disclosed herein are techniques related to glucose estimation without continuous glucose monitoring. In some embodiments, the techniques may involve receiving input data associated with a user. The input data may comprise discrete blood glucose measurement data associated with the user, activity data associated with the user, contextual data associated with the user, or a combination thereof. The techniques may also involve using an estimation model and the input data associated with the user to generate one or more estimated blood glucose values associated with the user.

Glucose estimation without continuous glucose monitoring

Disclosed herein are techniques related to glucose level management without carbohydrate counting. The techniques may involve obtaining contextual information for a meal, predicting amounts of glucose to be absorbed into a bloodstream of the patient over a duration of time due to consumption of the meal based on the contextual information for the meal, determining one or more amounts of insulin to counteract effects of the predicted amounts of glucose, and affecting insulin therapy based on outputting information indicative of the determined one or more amounts of insulin.

Growing community of inventors

Arcadia, CA, United States of America

Yuxiang Zhong