US 12,169,788 B2
Analysis of neurological conditions, including prediction of future seizure events and/or detection of current seizure events, based on analysis of blepharometric data
Scott Coles, Queenscliff (AU); and Trefor Morgan, Queenscliff (AU)
Assigned to SDIP HOLDINGS PTY LTD, Victoria (AU)
Appl. No. 17/287,882
Filed by SDIP HOLDINGS PTY LTD, Victoria (AU)
PCT Filed Oct. 23, 2019, PCT No. PCT/AU2019/051156
§ 371(c)(1), (2) Date Apr. 22, 2021,
PCT Pub. No. WO2020/082123, PCT Pub. Date Apr. 30, 2020.
Claims priority of application No. 2018904026 (AU), filed on Oct. 23, 2018; application No. 2018904027 (AU), filed on Oct. 23, 2018; application No. 2018904028 (AU), filed on Oct. 23, 2018; application No. 2018904076 (AU), filed on Oct. 27, 2018; application No. 2018904312 (AU), filed on Nov. 8, 2018; and application No. 2019900229 (AU), filed on Jan. 25, 2019.
Prior Publication US 2021/0345937 A1, Nov. 11, 2021
Int. Cl. G06V 20/59 (2022.01); A61B 3/113 (2006.01); A61B 3/14 (2006.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/18 (2006.01); B60W 40/08 (2012.01); G06F 18/214 (2023.01); G06N 5/04 (2023.01); G06T 7/00 (2017.01); G06V 10/40 (2022.01); G06V 40/18 (2022.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01)
CPC G06N 5/04 (2013.01) [A61B 3/113 (2013.01); A61B 3/14 (2013.01); A61B 5/004 (2013.01); A61B 5/0077 (2013.01); A61B 5/1103 (2013.01); A61B 5/1118 (2013.01); A61B 5/1128 (2013.01); A61B 5/18 (2013.01); A61B 5/4094 (2013.01); A61B 5/4842 (2013.01); A61B 5/6803 (2013.01); A61B 5/6893 (2013.01); A61B 5/7275 (2013.01); A61B 5/7282 (2013.01); A61B 5/746 (2013.01); B60W 40/08 (2013.01); G06F 18/214 (2023.01); G06T 7/0012 (2013.01); G06V 10/40 (2022.01); G06V 20/597 (2022.01); G06V 40/193 (2022.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 2560/02 (2013.01); B60W 2040/0872 (2013.01); B60W 2540/221 (2020.02); B60W 2540/223 (2020.02); G06T 2207/20081 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30268 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method for predicting a seizure in a human subject, the method including:
operating monitoring hardware thereby to generate blepharometric data for the human subject, wherein the blepharometric data is representative of eyelid position as a function of time;
identifying blink events in the blepharometric data;
processing the blepharometric data thereby to identify a plurality of blepharometric artifacts for each detected blink event; and
in the event that, for a specific time window, the identified blepharometric artifacts correspond to a predefined profile, providing an output representative of an increased risk of a future seizure event in a time period subsequent to the specific time window, wherein the human subject is not identified to be experiencing a seizure event during the specific time window;
wherein the identified blepharometric artifacts correspond to the predefined profile in the event that the identified blepharometric artifacts demonstrate a threshold measure of abnormal blink eyelid movement calmness during the specific time window, wherein eyelid movement calmness is quantified relative to the extent to which eyelid motion is smooth or erratic.