Seizure detection
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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Abstract
Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may movements associated with the tonic or clonic phases of a seizure. A detection zone is used to monitor the individual via the one or more 3D cameras. As the individual moves, the detection zone is automatically adjusted such that zone remains around the person. Detected body position and/or movements, including rate of movement and duration of movement, consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.
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Citations
16 Claims
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1. A computerized method for detecting seizure symptoms, the method implemented by one or more processors and comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for detecting seizures, the system comprising:
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one or more 3D motion sensors located to provide the one or more 3D motion sensors with a view of a person to be monitored, the 3D motion sensors configured to collect a series of images of the person; a computerized monitoring system communicatively coupled to the one or more 3D motion sensors, the computerized monitoring system configured to; receiving, from the one or more 3D motion sensors, image data of the 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; and 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 a computerized communication system communicatively coupled to the computerized monitoring system, the computerized communication system configured to send an alert to one or more designated recipients when it is determined that the pattern of movement is consistent with the seizure. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16)
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Specification