US 11,937,915 B2
Methods and systems for detecting stroke symptoms
Michael Kusens, Cooper City, FL (US); and Neil Kusens, Sherman Oaks, CA (US)
Assigned to Cerner Innovation, Inc., North Kansas City, MO (US)
Filed by CERNER INNOVATION, INC., North Kansas City, MO (US)
Filed on Jan. 14, 2022, as Appl. No. 17/576,593.
Application 17/576,593 is a continuation of application No. 16/816,626, filed on Mar. 12, 2020, granted, now 11,241,169.
Application 16/816,626 is a continuation of application No. 15/395,762, filed on Dec. 30, 2016, granted, now 10,614,288, issued on Jul. 6, 2017.
Claims priority of provisional application 62/273,735, filed on Dec. 31, 2015.
Prior Publication US 2022/0133174 A1, May 5, 2022
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); A61B 5/1171 (2016.01); G06F 18/22 (2023.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 7/292 (2017.01); G06T 11/60 (2006.01); G06V 20/52 (2022.01); G06V 20/64 (2022.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01); G08B 5/22 (2006.01); G08B 13/196 (2006.01); G08B 21/18 (2006.01); G08B 25/00 (2006.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/10 (2018.01); G16H 30/20 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 80/00 (2018.01); H04N 7/18 (2006.01); H04N 13/204 (2018.01); H04N 13/207 (2018.01); H04N 23/63 (2023.01); G06F 3/0482 (2013.01); G06F 3/04847 (2022.01); G08B 21/04 (2006.01); H04N 13/00 (2018.01)
CPC A61B 5/11 (2013.01) [A61B 5/0077 (2013.01); A61B 5/1176 (2013.01); A61B 5/4064 (2013.01); A61B 5/746 (2013.01); G06F 18/22 (2023.01); G06T 7/0012 (2013.01); G06T 7/0016 (2013.01); G06T 7/20 (2013.01); G06T 7/292 (2017.01); G06T 11/60 (2013.01); G06V 20/52 (2022.01); G06V 20/647 (2022.01); G06V 40/172 (2022.01); G06V 40/20 (2022.01); G08B 5/22 (2013.01); G08B 13/196 (2013.01); G08B 21/182 (2013.01); G08B 25/009 (2013.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/10 (2018.01); G16H 30/20 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 80/00 (2018.01); H04N 7/18 (2013.01); H04N 7/181 (2013.01); H04N 7/183 (2013.01); H04N 13/204 (2018.05); H04N 13/207 (2018.05); H04N 23/63 (2023.01); G06F 3/0482 (2013.01); G06F 3/04847 (2013.01); G06T 2200/04 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10012 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30232 (2013.01); G06V 40/161 (2022.01); G08B 13/19639 (2013.01); G08B 21/0476 (2013.01); H04N 2013/0085 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computerized method for detecting stroke symptoms comprising:
capturing image data including two or more images including a face of a person using at least one 3-dimensional (3D) sensor;
superimposing at least one axis of a 3-dimensional (3D) axis system at a reference anatomical feature of the face in a portion of the image data including the face of the person; and
communicating an electronic alert to a remote device in response to detecting an asymmetric change in position of at least one reference point of a plurality of reference points that correspond to anatomical features on the face of the person within the image data relative to the 3D axis system, wherein the detected asymmetric change in position of the at least one reference point represents a change in a degree of asymmetry corresponding to a depth axis in the 3D axis system, and wherein the change in the degree of asymmetry exceeds a threshold change of about 10% or 3 mm in the degree of asymmetry.