Medtronic Minimed, Inc.

Atmel Corporation

Ozmo Licensing LLC

Ozmo, Inc.

Klue, Inc.

Omega Sub Holdings, Inc.

Roka Labs, Inc.

Katelijn Vleugels

Roel Peeters

Ronald Marianetti, Ii

Barry Thompson

Ilya Minkin

Nils Bunger

Neha J Parikh

Louis J Lintereur

Lavie Golenberg

Sergio Sanielevici

Harry J Eakins

Ronald Marianetti Ii

A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.

Method and apparatus for tracking food intake behaviors and providing relevant feedback

Gesture-informed patient management systems and related medical devices and operating methods are provided. A method of operating a medical device capable of influencing a physiological condition of a patient involves obtaining first sensor measurement data from a sensing arrangement associated with a first location on a body of the patient and capable of detecting physical movement by the patient, obtaining second sensor measurement data from a second sensing arrangement having a second location different from the first location, predicting an occurrence of an event based at least in part on the first sensor measurement data in a manner that is influenced by the second sensor measurement data, resulting in a predicted occurrence of the event, and automatically configuring operation of the medical device to influence the physiological condition of the patient in a manner that is influenced by the predicted occurrence of the event.

Multi-sensor gesture-based operation of a medication delivery system

Method and apparatus for tracking of food intake and other behaviors and providing relevant feedback

Techniques disclosed herein relate to nutritional content determination based on gesture detection data. In some embodiments, the techniques involve obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink.

Nutritional content determination based on gesture detection data

Systems and methods for implementing digital vision diagnostics are described and can include: (1) projecting images onto an individual's retina; (2) modelling the optics of the retina; (3) collecting user input/feedback in response to the projected image(s); (4) collecting other known vision-related data or contextual metadata; (5) diagnosing at least one vision-related or diagnostic parameter of the individual based on a combination of (1)-(4). Systems and methods for implementing digital vision compensation are further described and can include: (1) digitally capturing image(s) of an individual's field-of-view or portion thereof, or retrieving pre-recorded image(s); (2) determining or retrieving at least one vision-related or diagnostic parameter of the individual (e.g., using digital vision diagnostic technique(s)); (3) process the captured or pre-recorded digital image(s) to create compensated digital image(s); and (4) display or project the compensated digital image(s) to the individual.

Automated vision care diagnostics and digitally compensated smart eyewear

The disclosed techniques include obtaining sensor data from one or more sensors configured to detect movement related to a user of the one or more sensors, and determining, based on the sensor data, of an occurrence of a gesture-based physical behavior event of the user. The techniques further cause adjustment of a medication dosage for delivery to the user based on determining the occurrence of the gesture-based physical behavior event.

Adjustment of medication dosages based on detection of physical behavior events

Gesture-informed patient management systems and related medical devices and operating methods are provided. A method of operating a medical device involves identifying a current operational context, predicting an occurrence of an event based at least in part on historical data associated with the patient and a correlation between the current operational context and the event, automatically configuring operation of the medical device to influence a physiological condition of the patient to account for the predicted occurrence of the event, and after configuring the operation of the medical device to account for the predicted occurrence of the event, automatically reconfiguring the operation of the medical device in response to detected gesture data influenced by an output of a sensing arrangement.

Context-sensitive predictive operation of a medication delivery system in response to gesture-indicated activity changes

Disclosed herein are techniques related to device performance mode adjustment based on activity detection. In some embodiments, the techniques involve detecting, based on processing sensor data obtained from one or more gesture sensors, an activity in which a user of the one or more gesture sensors is engaged. The techniques further involve generating information corresponding to the detected activity in which the user of the one or more gesture sensors is engaged. The techniques also involve controlling, based on providing the generated information to a device for monitoring a physiological characteristic of the user, adjustment of a performance mode of the device for monitoring the physiological characteristic of the user.

Performance mode adjustment based on activity detection

A network system comprises a first logic block providing a link to a first network via an access point of a WLAN and a second logic block communicating with a node of a second network (such as a WPAN) and configured to provide a link between the node and the first network via the access point. The network system is configured to maintain continuous connections to both the access point and the node while receiving power. The second logic block can communicate with the node using a modified communication protocol that is only partially compliant with an 802.11x communications protocol. A wireless hub can integrate a WPAN with a WLAN including, in part, a wireless circuit compliant with the WLAN standard (such as an 802.11x standard), a processor, and a memory. The wireless circuit can connect to the WPAN without losing connectivity (such as association and synchronization) to the WLAN.

Apparatus and method for integrating short-range wireless personal area networks for a wireless local area network infrastructure

An automated medication dosing and dispensing system includes sensors to detect physical movement of a user; storage media with program instructions; and a processor. The program instructions cause the processor to: detect, based on analysis of sensor readings obtained from the sensors, occurrences of gesture-based physical behavior events; store historical event information corresponding to the detected occurrences; process the stored historical event information to predict a future occurrence of a physical behavior event of interest; and adjust medication dosage and/or medication dispensing parameters in response to the predicted future occurrence of the physical behavior event of interest.

Automated detection of a physical behavior event and corresponding adjustment of a medication dispensing system

An automated medication dispensing system provides for triggering a medication administration message when an inferred event is detected for which a medication administration message is to be sent. The event might be the start, the beginning, or an anticipation of a start, of an eating event, detected by an event detection module from gestures of a user from a set of sensor readings. The message can be a signal to medication dispensing apparatus, and/or a reminder message to the user, an ancillary message to a caregiver, health professional, or others. The medication administration message might comprise a signal to an input of an insulin management system or an input of a meal-aware artificial pancreas. The events might also include a drinking event, a smoking event, a personal hygiene event, and/or a medication related event.

An automated medication dosing and dispensing system includes: gesture sensors to detect physical movement of a user; computer-readable storage media with program code instructions; and at least one processor. The instructions are configurable to cause the at least one processor to perform a method that involves: detecting, based on analysis of gesture sensor readings obtained from the gesture sensors, an occurrence of a gesture-based physical behavior event; calculating an initial confidence level for the detected occurrence of the gesture-based physical behavior event; deriving a final confidence level, for the detected occurrence of the gesture-based physical behavior event, from the initial confidence level and from external information obtained from at least one source of data that is distinct from the gesture sensors; and adjusting medication dosage and/or medication dispensing parameters in response to the detected occurrence of the gesture-based physical behavior event and the final confidence level.

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San Carlos, CA, United States of America

Katelijn Vleugels