# US 11,026,623 B2 · Seizure detection based on work level excursion > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,026,623 B2 - Document ID: US11026623B2 - Status: Granted - Kind: B2 - Application number: 15/726,683 - Filed: 2017-10-06 - Published: 2018-02-01 - Granted: 2021-06-08 - Earliest claimed: 2013-03-14 - Assignees: Flint Hills Scientific, L.L.C. - Applicants: Flint Hills Scientific, L.L.C. - Inventors: Ivan Osorio - Web page: https://patentgrep.com/patent/US11026623B2 ## CPC - A61B 5/4094: {Diagnosing or monitoring seizure diseases, e.g. epilepsy} - A61B 5/1118: {Determining activity level} - A61B 5/4866: {Evaluating metabolism (using breath test A61B5/083)} - A61B 5/0205: Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition - A61B 5/024: Measuring pulse rate or heart rate - A61B 5/0816: {Measuring devices for examining respiratory frequency (measuring frequency of electric signals G01R23/00)} - A61B 5/14539: {for measuring pH} - A61B 5/14551: {for measuring blood gases} - A61B 5/4848: {Monitoring or testing the effects of treatment, e.g. of medication} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract We report a method of determining an occurrence of an epileptic convulsive seizure in a patient, comprising: receiving body data from a patient during a first time period, determining a work level relating to said first time period at least based partially upon said body data; determining whether said work level exceeds an extreme work level threshold; performing a responsive action, in response to a determination that said work level exceeds said extreme work level threshold. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method. ## Claims ### Claim 1 A medical device, comprising: at least one sensor configured to collect at least one body signal from a patient; one or more processors configured to determine a first patient state based on the at least one body signal from the patient received from the at least one sensor, the one or more processors are configured to determine a first time of day determination, wherein the one or more processors are configured to generate a non-seizure state based on the first time of day determination and the first patient state. ### Claim 2 (depends on 1) The medical device of claim 1, wherein the one or more processors are configured to determine a second time of day determination and to generate a seizure state based on the second time of day determination and the first patient state. ### Claim 3 (depends on 1) The medical device of claim 1, wherein the one or more processors are configured to determine a patient's activity history, the one or more processors are configured to determine a second time of day determination and to generate a seizure state based on the second time of day determination and the patient's activity history. ### Claim 4 (depends on 1) The medical device of claim 1, wherein the one or more processors are configured to determine a patient's activity history, the one or more processors are configured to determine a second time of day determination and to generate a non-seizure state based on the second time of day determination and the patient's activity history. ### Claim 5 (depends on 4) The medical device of claim 4, wherein the one or more processors are configured to determine a third time of day determination and to generate the seizure state based on the third time of day determination and the patient's activity history. ### Claim 6 (depends on 1) The medical device of claim 1, wherein the first patient state is based on a work level determination. ### Claim 7 (depends on 6) The medical device of claim 6, wherein the work level determination is based on a magnitude excursion function. ### Claim 8 (depends on 6) The medical device of claim 6, wherein the work level determination is based on a rate of change excursion function. ### Claim 9 (depends on 1) The medical device of claim 1, further comprising an environmental monitor configured to receive environmental data, wherein the one or more processors are configured to determine at least one of the non-seizure state and a seizure state based on the first patient state, the first time of day determination, and the environmental data. ### Claim 10 A method implemented via a medical device, comprising: collecting via one or more processors of the medical device, at least one body signal from a patient; determining via the one or more processors of the medical device a first patient state based on the at least one body signal collected from the patient; determining via the one or more processors of the medical device a first time of day determination; and generating via the one or more processors of the medical device a non-seizure state based on the first time of day determination and the first patient state. ### Claim 11 (depends on 10) The method of claim 10, further comprising generating via the one or more processors of the medical device a seizure state based on second time of day determination and a first patient state. ### Claim 12 (depends on 10) The method of claim 10, further comprising determining via the one or more processors of the medical device a patient's activity history and generating the non-seizure state when a second time of day determination is generated based on the patient's activity history. ### Claim 13 (depends on 10) The method of claim 10, further comprising determine via the one or more processors of the medical device a patient's activity history and generating a seizure state when a second time of day determination is generated based on the patient's activity history. ### Claim 14 (depends on 13) The method of claim 13, further comprising generating via the one or more processors of the medical device the seizure state when a third time of day determination is generated based on the patient's activity history. ### Claim 15 (depends on 10) The method of claim 10, wherein the first patient state is based on a work level determination. ### Claim 16 (depends on 15) The method of claim 15, wherein the work level determination is based on a magnitude excursion function. ### Claim 17 (depends on 15) The method of claim 15, wherein the work level determination is based on a rate of change excursion function. ### Claim 18 (depends on 10) The method of claim 10, further comprising receiving via the one or more processors of the medical device environmental data and determining at least one of the non-seizure state and a seizure state based on the first patient state, the time of day, and the environmental data. ### Claim 19 A medical system, comprising: at least one sensor on one or more medical devices configured to collect at least one body signal from a patient; one or more processors configured to determine a first patient state based on the at least one body signal from the patient received from the at least one sensor, the one or more processors are configured to determine a time of day, wherein the one or more processors are configured to generate a non-seizure state when a first time of day determination is generated, wherein the one or more processors are configured to generate a seizure state when a second time of day determination is generated. ### Claim 20 (depends on 19) The medical system of claim 19, wherein the one or more processors are configured to determine a patient's activity history, the one or more processors are configured to generate the non-seizure state when the second time of day determination is generated based on a first patient's activity history data, the one or more processors are configured to generate the seizure state when the second time of day determination is generated based on a second patient's activity history data, the one or more processors are configured to generate the seizure state when a third time of day determination is generated based on a third patient's activity history data.