Seizure detection

• US 10,388,016 B2
• Filed: 10/12/2018
• Issued: 08/20/2019
• Est. Priority Date: 12/30/2016
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Kusens, Michael, Kusens, Neil
• Primary Examiner(s): Azarian, Seyed H
• Application Number:
  US16/158,729
• Publication Number:
  US 20190043192A1
• Time in Patent Office: 312 Days
• Field of Search: 382100, 382103, 382106-107, 382128-134, 382154-155, 382162, 382168, 382173, 382181, 382190, 382199, 382203, 382209, 382214, 382219, 382232, 382254, 382274, 382276, 382286-291, 382305, 382312, 128903, 705 2, 600476, 600474, 3482221, 348135
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/0016 involving temporal comparison
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0476 Cameras to detect unsafe condition, e.g. video cameras

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.

Claims

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;

automatically adjusting the detection zone to maintain the detection zone around the person as the person moves;

based on the image data from within the detection zone, determining that movement for at least a portion of the person is consistent with a seizure, wherein determining that movement for the at least a portion of the person is consistent with the seizure comprises determining a rate of movement and a duration of movement based on at least two images from the image data received from the one or more 3D motion sensors, and determining a variability of velocity of one or more reference points of the person; and

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

2. The computerized method of claim 1, wherein automatically adjusting the detection zone to maintain the detection zone around the person as the person moves comprises maintaining a constant spatial relationship between the one or more reference points of the person and a boundary of the detection zone.

3. The computerized method of claim 1, wherein automatically adjusting the detection zone to maintain the detection zone around the person as the person moves comprises identifying a direction of at least one of the one or more reference points of the person relative to the one or more 3D motion sensors and moving the detection zone based on directional information.

4. The computerized method of claim 1, wherein it is determined that the movement for the at least a portion of the person is consistent with the seizure if one or both of the rate of movement and the duration of movement exceeds a predefined threshold.

5. The computerized method of claim 1, wherein determining the rate of movement comprises assessing a change in position over time of the one or more reference points of the person using blob detection analysis, skeleton analysis, or both.

6. The computerized method of claim 5, wherein the one or more reference points of the person is based on a type of seizure risk for the person.

7. The computerized method of claim 6, wherein the one or more reference points of the person is limited to reference points on the person'"'"'s lower body.

8. The computerized method of claim 1, wherein the determination is communicated to a central monitoring system, and upon communicating the determination to the central monitoring system, a display of images of the person captured by the one or more 3D motion sensors as the image data is moved from a primary monitoring display to an alert monitoring display.

9. A system for detecting seizures, the system comprising:

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;

establish 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;

detect the person has moved based on at least one or more images from the series of images collected from the one or more 3D motion sensors;

automatically adjust the detection zone to maintain the detection zone around the person as the person moves; and

based on at least the one or more images from the series of images collected from the one or more 3D motion sensors, determine that movement for at least a portion of the person is consistent with a seizure by determining a rate of movement and a duration of movement based on at least two of the one or more images from the series of images, and determining a variability of velocity of one or more reference points of 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 movement for the at least a portion of the person is consistent with the seizure.

10. The system of claim 9, further comprising a central monitoring system communicatively coupled to the computerized communication system, the central monitoring system configured to display at least a portion of the series of images of the person.

11. The system of claim 10, wherein the central monitoring system comprises a primary display and an alert display.

12. The system of claim 9, wherein, upon determining the rate of movement of the movement for the at least a portion of the person is consistent with the seizure, the computerized monitoring system automatically communicates the determination to the computerized communication system, wherein the computerized communication system transmits the alert to the one or more designated recipients.

13. The system of claim 12, wherein after the alert is transmitted, the computerized monitoring system monitors whether the movement of the person changes after the alert.

14. The system of claim 13, wherein the computerized monitoring system is further configured to determine the person does not provide a response recognized as reassuring, and wherein the one or more designated recipients is automatically alerted in response to determining the person does not provide the response recognized as reassuring.

15. The system of claim 9, wherein automatically adjusting the detection zone to maintain the detection zone around the person as the person moves comprises maintaining a constant spatial relationship between the one or more reference points of the person and a boundary of the detection zone.

16. The system of claim 9, wherein automatically adjusting the detection zone to maintain the detection zone around the person as the person moves comprises identifying a direction of at least one of the one or more reference points of the person relative to the one or more 3D motion sensors and moving the detection zone using directional information.

17. The system of claim 9, wherein determining the rate of movement of the movement for the at least a portion of the person comprises assessing a change in position over time of the one or more reference points of the person using blob detection analysis, skeleton analysis, or both.