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. 20, 2015

Filed:

Oct. 27, 2011
Applicants:

Barry R. Greene, Dublin, IE;

Alan D. O'donovan, Meath, IE;

Inventors:

Barry R. Greene, Dublin, IE;

Alan D. O'Donovan, Meath, IE;

Assignee:

INTEL-GE CARE INNOVATIONS LLC, Roseville, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/11 (2006.01); G06F 19/00 (2011.01);
U.S. Cl.
CPC ...
G06F 19/3431 (2013.01); A61B 5/1117 (2013.01); A61B 2562/0219 (2013.01);
Abstract

Methods, systems, and apparatus for quantifying an individual's frailty level based on inertial sensor data collected from the individual. The quantified frailty level may correspond to and approximate clinical metrics of frailty, such as the Fried frailty index. A linear regression model may be used to output the quantitative frailty value based on input parameters from the inertial sensor data. The linear regression model may be initially generated from the clinically-measured frailty index values of individuals and inertial sensor data collected from them. The inertial sensor data may be collected during, for example, a timed up and go (TUG) test. Two logistic regression models may be used to output a frailty class based on input parameters from the inertial sensor data. A first logistic regression model may distinguish between robust and frail individuals. A second logistic regression model may distinguish between robust and pre-frail individuals.


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