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Seizure detection

  • US 10,504,226 B2
  • Filed: 06/27/2019
  • Issued: 12/10/2019
  • Est. Priority Date: 12/30/2016
  • Status: Active Grant
First Claim
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1. A computerized method for detecting seizure symptoms, the method implemented by one or more processors and comprising:

  • receiving, from one or more 3D motion sensors, image data capturing a person;

    establishing a detection zone defining an area or volume around the person, the detection zone being less than an entire area or an entire volume of view of the one or more 3D motion sensors;

    detecting the person has moved based on the image data from one or more 3D motion sensors;

    based on the image data from within the detection zone, identifying a pattern of movement consistent with a seizure by determining a rate of movement by assessing a change in position over time of one or more reference points of the person using blob detection analysis, skeleton analysis, or both, wherein the one or more reference points of the person is based on a type of seizure risk for the person; and

    communicating a determination that movement of the person is consistent with the seizure.

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