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Noise correcting patient fall risk state system and method for predicting patient falls

DC
  • US 9,318,012 B2
  • Filed: 03/23/2012
  • Issued: 04/19/2016
  • Est. Priority Date: 12/12/2003
  • Status: Active Grant
First Claim
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1. A method for predicting a risk of a patient fall based on a plurality of fall risk states, the plurality of fall risk states defining a hierarchy of discrete fall risk states, at least one of the fall risk states being associated with an action, the method comprising:

  • receiving a plurality of video frames from a surveillance video camera, said surveillance video camera captures a sequence of video frames of a surveillance area, wherein a patient is present in the surveillance area, each of the plurality of video frames comprising a plurality of predetermined areas;

    detecting a change in at least one of the plurality of predetermined areas of the current video frame of the plurality of video frames;

    evaluating the change detected in the at least one of the plurality of predetermined areas of the current video frame for noise; and

    identifying a fall risk transition to a fall risk state selected from the hierarchy of discrete fall risk states, the hierarchy of discrete fall risk states including a wait state, a no-wait state, and at least one other state, and wherein each fall risk state includes event and timing information, wherein the identification of a fall risk transition is based upon the change detected in the at least one of the plurality of predetermined areas of the current video frame.

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