Machine learning-based system for estimating glucose values based on blood glucose measurements and contextual activity data
US11883208B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 6, 2019 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Dec 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H20/17
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for estimating glucose values of a user and an insulin infusion and management system are provided. The insulin infusion and management system can include an insulin infusion device configured to deliver insulin to a user; a blood glucose meter; a source of user activity data; and a processor-based computing device that supports data communication with the insulin infusion device. A processor device of the computing device can perform a method for estimating glucose values of a user. In accordance with the method, a first set of inputs can be received and processed via an estimation model for a user to generate a set of estimated glucose values that track actual glucose values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.