System and method for predicting patient falls
US9311540B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2008 |
| Grant date | Apr 12, 2016 |
| Priority date | — |
| Expiry date | Nov 14, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/25
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyzes the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature. One fall movement detection signature is a sequential detection order from the motion detection zone closest to the risk area in the frames associated with patient falls, to the motion detection zone farthest away from the risk area. The patient fall prediction system continually monitors the motion detection zones for changes between image frames and compiles detections lists that are compared to known movement detection signatures, …
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.