US 11,806,130 B2
Predicting the probability of a brain injury of a subject resulting from a fall
Jorn Op Den Buijs, Eindhoven (NL); and Marten Jeroen Pijl, Eindhoven (NL)
Assigned to Koninklijke Philips N.V., Eindhoven (NL)
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Filed on Dec. 14, 2020, as Appl. No. 17/120,366.
Claims priority of application No. 19217567 (EP), filed on Dec. 18, 2019.
Prior Publication US 2021/0369142 A1, Dec. 2, 2021
Int. Cl. A61B 5/11 (2006.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); A61B 5/00 (2006.01)
CPC A61B 5/1117 (2013.01) [A61B 5/4064 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method for predicting a probability of a brain injury of a subject resulting from a fall by the subject, the method comprising:
obtaining fall data representative of a movement or a force of the fall;
obtaining subject data representative of at least one property of the subject;
obtaining event data representative of at least one descriptor of the fall indicating at least one of a situation or context of the fall;
providing the fall data, the subject data and the event data to a computer-implemented prediction algorithm;
obtaining a prediction result from the prediction algorithm based on the fall data, the subject data, and the event data, the prediction result indicating a probability of a brain injury of the subject resulting from the fall by the subject, and
determining a need for further medical assessment or medical treatment of the subject based on the predicted probability of the brain injury.