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. 05, 2023

Filed:

Jul. 14, 2020
Applicants:

Robin H. Stewart, Woodbridge, VA (US);

Qiliang LI, Fairfax, VA (US);

Inventors:

Robin H. Stewart, Woodbridge, VA (US);

Qiliang Li, Fairfax, VA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/0205 (2006.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01); A61B 5/1455 (2006.01); A61J 7/04 (2006.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G06F 18/2132 (2023.01); G06F 18/2135 (2023.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/0022 (2013.01); A61B 5/02055 (2013.01); A61B 5/1112 (2013.01); A61B 5/1117 (2013.01); A61B 5/14532 (2013.01); A61B 5/14551 (2013.01); A61B 5/681 (2013.01); A61B 5/7264 (2013.01); A61B 5/746 (2013.01); A61J 7/0427 (2015.05); G06F 18/2132 (2023.01); G06F 18/2135 (2023.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); A61B 2562/0219 (2013.01); A61J 2205/60 (2013.01);
Abstract

Systems and methods of dynamic biometric detection and response are provided for the purpose of establishing baseline health status while conveying real-time drug prescription usages and reactions from baseline data. The dynamic monitoring system may be embedded within a wristband, ring, vest, and/or waistband in wireless communication with a computing device or server. Each wearable device may employ interchangeable and embedded sensors to detect inertia movements; 360-imaging fall detections; and a variety of body-emitting vital signs. The system may include a processor operable to sense user location, motion, activity, and biomarkers for the purpose of detecting the user's behavior pattern, wherein an enhanced machine-learning algorithm is used to identify repetitive actions within the user's behavior pattern; and, based upon this pattern, the system is able to detect one or more anomalies for the purpose of generating an anomaly alert for third party notification and quantitative analysis at a server.


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