The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2024

Filed:

Jun. 27, 2019
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Nathalie Magali Danielle Dessaud, Wintelre, NL;

Janneke Annegarn, Eindhoven, NL;

Assignee:

Koninklijke Philips N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/00 (2006.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/024 (2013.01); A61B 5/1117 (2013.01); A61B 5/7275 (2013.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01);
Abstract

Techniques are described herein for incorporating fall prevention into a personalized activity plan. In various embodiments, a baseline risk of fall for a user may be estimated () based on baseline sensor signal(s) (). Based on a prediction model () (which may/may not be associated with the user) and the baseline risk of fall, respective risks of falls associated with various candidate activities may be predicted (), and then candidate activities may be determined or selected () based on the predicted respective risks of falls. Output indicative of the determined candidate activities may be provided () to the user, who may provide input () identifying one or more of the determined candidate activities as an exercise conducted or to be conducted by the user. Based on the exercise sensor signal(s), a subsequent risk of fall for the user may be estimated () and used to update () the prediction model.


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