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. 06, 2025

Filed:

Apr. 27, 2023
Applicant:

Rekovar Inc., Irvine, CA (US);

Inventors:

Shiva Sharareh, Laguna Niguel, CA (US);

Abel Jimenez, Irvine, CA (US);

Ariel Garcia, Vista, CA (US);

Daryl Chau, Irvine, CA (US);

Neema Onbirbak, Laguna Niguel, CA (US);

Assignee:

Rekovar Inc., Irvine, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2005.12); A61B 5/01 (2005.12); A61B 5/053 (2020.12); A61B 5/11 (2005.12); A61B 5/145 (2005.12); A61B 5/16 (2005.12); A61B 5/296 (2020.12); A61B 5/369 (2020.12); G16H 20/17 (2017.12);
U.S. Cl.
CPC ...
A61B 5/681 (2012.12); A61B 5/01 (2012.12); A61B 5/053 (2012.12); A61B 5/11 (2012.12); A61B 5/14542 (2012.12); A61B 5/165 (2012.12); A61B 5/296 (2020.12); A61B 5/369 (2020.12); G16H 20/17 (2017.12);
Abstract

In neonates or infants, the system identifies Neonatal Abstinence Syndrome (NAS) and in adult patients the system monitors for and identifies withdrawal and/or relapse symptoms. The system can be used for NAS babies in hospitals as well as in the home for adults. The system obtains biosensor or behavioral information about a patient from a wearable device on the patient and makes a determinative recommendation based on algorithm driven calculations and takes appropriate action based on its evaluation. The biosensor and behavioral information are collected by way of a wearable device, high precision cameras, multi pitch microphones over progressive periods of time. When the data is indicative of a need for treatment because the patient is exhibiting symptoms or indicating relapse traits, this information is sent to the system where an AI module further predicts and recommends a delivery of treatment for the patient.


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