Machine learning health analysis with a mobile device
US11877830B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2019 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | Jun 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Disclosed herein are devices, systems, methods and platforms for continuously monitoring the health status of a user, for example the cardiac health status. The present disclosure describes systems, methods, devices, software, and platforms for continuously monitoring a user's low-fidelity health-indicator data (for example and without limitation PPG signals, heart rate or blood pressure) from a user-device in combination with corresponding (in time) data related to factors that may impact the health-indicator (“other-factors”) to determine whether a user has normal health as judged by or compared to, for example and not by way of limitation, either (i) a group of individuals impacted by similar other-factors, or (ii) the user him/herself impacted by similar other-factors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.