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:
Sep. 02, 2014

Filed:

Jun. 29, 2010
Applicants:

William J. Kaiser, Los Angeles, CA (US);

Majid Sarrafzadeh, Anaheim Hills, CA (US);

Hyduke Noshadi, Northridge, CA (US);

Shaun S. Ahmadian, Rolling Hills Estates, CA (US);

Hagop Hagopian, Glendale, CA (US);

Navid Amini, Los Angeles, CA (US);

Mars Lan, Los Angeles, CA (US);

Jonathan S. Woodbridge, Los Angeles, CA (US);

Wenyao Xu, Los Angeles, CA (US);

Inventors:

William J. Kaiser, Los Angeles, CA (US);

Majid Sarrafzadeh, Anaheim Hills, CA (US);

Hyduke Noshadi, Northridge, CA (US);

Shaun S. Ahmadian, Rolling Hills Estates, CA (US);

Hagop Hagopian, Glendale, CA (US);

Navid Amini, Los Angeles, CA (US);

Mars Lan, Los Angeles, CA (US);

Jonathan S. Woodbridge, Los Angeles, CA (US);

Wenyao Xu, Los Angeles, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G08B 23/00 (2006.01); A61B 5/11 (2006.01); A61B 5/103 (2006.01); A61B 5/00 (2006.01); A61H 1/00 (2006.01); A63B 71/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/1038 (2013.01); A61B 2562/046 (2013.01); A61B 5/1117 (2013.01); A61B 5/1116 (2013.01); A61B 5/112 (2013.01); A61B 5/6807 (2013.01); A61B 5/7246 (2013.01); A61B 5/7275 (2013.01);
Abstract

A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.


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