Senseonics. has been granted a patent for a method of calibrating analyte sensors using reference measurements. The system involves calculating blood analyte levels from sensor data, updating conversion functions based on user-entered reference measurements, and wirelessly conveying results to a handheld display device. GlobalData’s report on Senseonics gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Senseonics, Medical data analysis was a key innovation area identified from patents. Senseonics's grant share as of July 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.
Blood analyte monitoring and calibration system
The granted patent US12059255B2 outlines a method and system for monitoring blood analyte levels using a body-worn transceiver and an analyte sensor. The method involves calculating blood analyte levels based on interstitial fluid (ISF) analyte levels and their rates of change, utilizing a conversion function that incorporates analyte diffusion and consumption rates. The transceiver wirelessly conveys these calculated analyte levels to a handheld display device, which receives and displays the data. Additionally, the system allows users to input reference measurements and corresponding timestamps, which are used to update the conversion function, enhancing the accuracy of subsequent analyte level calculations.
The analyte monitoring system includes a body-worn transceiver and a handheld display device, both of which work in tandem with the analyte sensor. The sensor generates detectable properties indicative of analyte concentrations, which are processed to produce sensor data. The system is designed to facilitate real-time monitoring and adjustment of blood analyte levels, particularly useful for conditions such as diabetes where precise glucose monitoring is critical. The patent also specifies the use of light sources and photodetectors within the analyte sensor to enhance measurement accuracy, further supporting the system's efficacy in continuous health monitoring.
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