System and methods for determining health-related metrics from collected physiological data
US12226195B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2022 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Apr 21, 2043 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B2562/0219
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.