18666010. PRODUCT CONSUMPTION RECOMMENDATIONS simplified abstract (Medtronic MiniMed, Inc.)
Contents
PRODUCT CONSUMPTION RECOMMENDATIONS
Organization Name
Inventor(s)
Matthew N. Haggerty of Minnetonka MN (US)
Erik R. Hoeg of Plymouth MN (US)
PRODUCT CONSUMPTION RECOMMENDATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18666010 titled 'PRODUCT CONSUMPTION RECOMMENDATIONS
The abstract of this patent application describes techniques for providing product consumption recommendations based on glucose data and user activity data.
- The techniques involve determining a recommendation for the user to consume a product to maintain a target glucose level during an activity.
- The recommendation is based on the user's glucose data and movement data during the activity.
- If the recommendation suggests consuming the product, it is provided to the user for their consideration.
Potential Applications: - Health and wellness monitoring - Personalized nutrition recommendations - Fitness and activity tracking
Problems Solved: - Helping users maintain stable glucose levels during physical activities - Providing personalized recommendations for product consumption based on individual data
Benefits: - Improved glucose management during activities - Tailored recommendations for better health outcomes - Enhanced user experience with personalized suggestions
Commercial Applications: Title: Personalized Product Consumption Recommendations for Health and Fitness This technology could be used in health and fitness apps, wearable devices, and healthcare platforms to offer personalized recommendations for product consumption based on user data. It could also be integrated into smart devices and equipment for real-time monitoring and feedback.
Questions about Personalized Product Consumption Recommendations for Health and Fitness: 1. How can this technology benefit individuals with diabetes or other glucose management needs? - This technology can help individuals with diabetes or other glucose management needs by providing personalized recommendations to maintain stable glucose levels during various activities, leading to better health outcomes.
2. What are the potential implications of using this technology in the healthcare industry? - The use of this technology in the healthcare industry could lead to more personalized and effective treatment plans for individuals with specific health conditions, as well as improved monitoring and management of glucose levels.
Original Abstract Submitted
Disclosed herein are techniques related to product consumption recommendations. In some embodiments, the techniques may involve determining, based on glucose data of a user and activity data indicating movement of the user during an activity, a recommendation associated with a consumption of a product by the user to maintain a glucose level within a target range during the activity, and, in response to the recommendation indicating that the consumption of the product is recommended, providing the recommendation to the user.
