Personalized non-invasive blood glucose measurement device using machine learning or deep learning and method using the measurement device
US12408877B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2020 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | May 4, 2043 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B2560/0228
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A personalized non-invasive blood glucose measurement method according to the present disclosure includes: (a) collecting blood glucose value data of a patient by a processor unit; (b) determining an acceptable final error E′ with the blood glucose value data collected by the processor unit; (c) non-invasively predicting a blood glucose value in accordance with a setting mode by a patient when the final error E′ is determined, to measure a blood glucose value, by the processor unit; (d) periodically determining whether the final error E′ is calibrated by the processor unit; and (e) when it is not necessary to recalibrate in step (d), non-invasively predicting the blood glucose value in the range of the final error E′ determined in step (b) to measure the blood glucose value, to non-invasively provide an accurate personalized blood glucose value to a patient who needs to invasively measure a blood glucose every day.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.