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. 07, 2024

Filed:

Sep. 23, 2021
Applicant:

Ut-battelle, Llc, Oak Ridge, TN (US);

Inventors:

Ilia N. Ivanov, Knoxville, TN (US);

Eric S. Muckley, San Diego, CA (US);

Nicholas West, Knoxville, TN (US);

Assignee:

UT-BATTELLE, LLC, Oak Ridge, TN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B29C 64/386 (2017.01); A61B 5/00 (2006.01); A61B 5/08 (2006.01); B29C 64/364 (2017.01); G01N 3/00 (2006.01); G01N 21/25 (2006.01); G01N 27/02 (2006.01); G01N 33/00 (2006.01); G01N 33/02 (2006.01); G01N 33/497 (2006.01); G05B 19/042 (2006.01); G06N 5/022 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G08B 21/18 (2006.01); B33Y 10/00 (2015.01); B33Y 30/00 (2015.01); B33Y 50/00 (2015.01);
U.S. Cl.
CPC ...
B29C 64/386 (2017.08); A61B 5/0004 (2013.01); A61B 5/0816 (2013.01); A61B 5/6891 (2013.01); B29C 64/364 (2017.08); G01N 3/00 (2013.01); G01N 21/25 (2013.01); G01N 27/026 (2013.01); G01N 33/0001 (2013.01); G01N 33/0031 (2013.01); G01N 33/0063 (2013.01); G01N 33/0073 (2013.01); G01N 33/02 (2013.01); G01N 33/497 (2013.01); G05B 19/042 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G08B 21/18 (2013.01); A61B 2562/046 (2013.01); B33Y 10/00 (2014.12); B33Y 30/00 (2014.12); B33Y 50/00 (2014.12); G01N 2203/0094 (2013.01); G05B 2219/2614 (2013.01);
Abstract

A system for predicting one or more analytes based on outputs from thin film gas sensors is provided. The system may comprise an electronic nose (e-nose). The e-nose may comprise the gas sensors and a first processor. The system may further comprise a second processor. The second processor may be configured to receive the output from each of the gas sensors, evaluate a prediction accuracy using an evaluation parameter of each of a plurality of models which are trained and tested and select a model from among the plurality of models to deploy based on a comparison of the evaluation parameter for each of the plurality of models and use the same. The second processor may also receive, an output of each of the gas sensors caused by unknown one or more analytes; and predict, using the deployed model, the one or more analytes that causes the output.


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