Noise correcting patient fall risk state system and method for predicting patient falls
US9318012B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Mar 23, 2012 |
| Grant date | Apr 19, 2016 |
| Priority date | — |
| Expiry date | May 13, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N7/183
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A patient fall prediction system from noise corrected surveillance video by identifying patient fall risk states. A hierarchy of discrete patient fall risk states, from no risk, to intermediate risk to critical risk, describe a patient fall risk. The system transitions from state to state based on changes detected in corresponding areas between a current video frame and a background frame. A set of fall risk state transition rules govern the entry into new fall risk states. A video frame is subdivided into multiple predetermined areas, at least two contain images of the patient. The number of false alarms are reduced by accurately defining fall risk state transition rules and by reducing the opportunity for noise to impact the state transition results. Frames that contain new changes are excluded from fall risk state processing, i.e., the first video frame that might cause an erroneous elevated fall risk state is culled.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.