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:
May. 03, 2022

Filed:

Feb. 04, 2019
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Vincent De Sapio, Westlake Village, CA (US);

Jaehoon Choe, Agoura Hills, CA (US);

Iman Mohammadrezazadeh, Los Angeles, CA (US);

Kang-Yu Ni, Calabasas, CA (US);

Heiko Hoffmann, Simi Valley, CA (US);

Charles E. Martin, Santa Monica, CA (US);

Yuri Owechko, Newbury Park, CA (US);

Assignee:

HRL Laboratories, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/11 (2006.01);
U.S. Cl.
CPC ...
A61B 5/6898 (2013.01); A61B 5/0077 (2013.01); A61B 5/1112 (2013.01); A61B 5/1118 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 2562/0219 (2013.01); A61B 2562/06 (2013.01);
Abstract

Described is a system for health assessment. The system is implemented on a mobile device having at least one of an accelerometer, a geographic location sensor, and a camera. In operation, the system obtains sensor data related to an operator of the mobile device from one of the sensors. A network of networks (NoN) is generated based on the sensor data, the NoN having a plurality of layers with linked nodes. Tuples are thereafter generated. Each tuple contains a node from each layer that optimizes importance, diversity, and coherence. Storylines are created based on the tuples that solves a longest path problem for each tuple. The storylines track multiple symptom progressions of the operator. Finally, a disease prediction of the operator is provided based on the storylines.


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