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:
Dec. 24, 2024

Filed:

Dec. 17, 2020
Applicant:

Bruker Switzerland Ag, Fällanden, CH;

Inventors:

Christine Bolliger, Benken, CH;

Oliver Horlacher, Olten, CH;

Jochen Klages, Zürich, CH;

Irina Galiash, Adliswil, CH;

Marco Glur, Zürich, CH;

Fabrice Moriaud, Wallisellen, CH;

Assignee:

Bruker Switzerland AG, Fällanden, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/56 (2006.01); G01N 24/08 (2006.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); G01N 24/08 (2013.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01);
Abstract

Training a neural network for signal analysis in NMR spectra may use a plurality of computed NMR raw spectra, each raw spectrum being associated with a different NMR active molecule having a known number of protons (#P). Peaks of the raw spectra may be broadened to generate a broadened spectrum for each raw spectrum. For each broadened spectrum, its integral function may be computed to count the number of protons associated with peaks of the respective broadened spectrum. Signal intervals may be identified as intervals in the broadened spectrum where the integral function increases approximately by multiples of the value associated with a single proton so that the total number of counted protons matches the known number of protons (#P) of the associated molecule. The obtained spectra with associated labels for the identified signal intervals are provided as the training data set to the neural network.


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