# US 10,504,226 B2 · Seizure detection > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,504,226 B2 - Document ID: US10504226B2 - Status: Granted - Kind: B2 - Application number: 16/454,684 - Filed: 2019-06-27 - Published: 2019-10-17 - Granted: 2019-12-10 - Earliest claimed: 2016-12-30 - Assignees: Cerner Innovation, Inc. - Applicants: Cerner Innovation, Inc. - Inventors: Michael Kusens; Neil Kusens - Web page: https://patentgrep.com/patent/US10504226B2 ## CPC - G06T 7/0012: {Biomedical image inspection} - G06T 7/0016: {involving temporal comparison} - G06T 7/246: using feature-based methods, e.g. the tracking of corners or segments - G08B 21/043: {detecting an emergency event, e.g. a fall} - G08B 21/0476: {Cameras to detect unsafe condition, e.g. video cameras} - G06T 2207/10016: Video; Image sequence - G06T 2207/30004: Biomedical image processing - G06T 2207/30196: Human being; Person - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS ## 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 ### Claim 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. ### Claim 2 (depends on 1) The computerized method of claim 1 further comprising recording the pattern of movement consistent with the seizure. ### Claim 3 (depends on 1) The computerized method of claim 1 further comprising automatically adjusting the detection zone to maintain the detection zone around the person as the person moves. ### Claim 4 (depends on 3) The computerized method of claim 3, 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 one or more reference points of the person and a boundary of the detection zone. ### Claim 5 (depends on 3) The computerized method of claim 3, 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 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. ### Claim 6 (depends on 1) The computerized method of claim 1, wherein the one or more reference points of the person is limited to reference points on the person's lower body. ### Claim 7 (depends on 1) 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. ### Claim 8 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: 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. ### Claim 9 (depends on 8) The system of claim 8, 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. ### Claim 10 (depends on 9) The system of claim 9, wherein the central monitoring system comprises a primary display and an alert display. ### Claim 11 (depends on 10) The system of claim 10, wherein the central monitoring system receives the alert that the pattern of movement is consistent with a seizure, and, upon receiving the alert, a display of images of the person captured by the one or more 3D motion sensors is moved from the primary display to the alert display. ### Claim 12 (depends on 8) The system of claim 8, wherein, upon determining the pattern of movement is consistent with a 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. ### Claim 13 (depends on 12) The system of claim 12, wherein the computerized monitoring system is further configured to automatically adjust the detection zone to maintain the detection zone around the person as the person moves. ### Claim 14 (depends on 13) The system of claim 13, 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 one or more reference points of the person and a boundary of the detection zone. ### Claim 15 (depends on 8) The system of claim 8, wherein identifying the pattern of movement consistent with a seizure further comprises determining a duration of movement. ### Claim 16 (depends on 8) The system of claim 8, wherein the one or more reference points of the person is limited to reference points on the person's lower body.