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:
Oct. 29, 2024

Filed:

Jul. 07, 2022
Applicant:

Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, CN;

Inventors:

Hong Jiang, Shanghai, CN;

Ming Xia, Shanghai, CN;

Ren Zhou, Shanghai, CN;

Shuang Cao, Shanghai, CN;

Tian Yi Xu, Shanghai, CN;

Jie Wang, Shanghai, CN;

Chen Yu Jin, Shanghai, CN;

Bei Pei, Shanghai, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G10L 25/15 (2013.01); G10L 25/18 (2013.01); G10L 25/21 (2013.01); G10L 25/24 (2013.01); G10L 25/30 (2013.01); G10L 25/45 (2013.01); G10L 25/66 (2013.01); G10L 25/90 (2013.01); G10L 25/93 (2013.01);
U.S. Cl.
CPC ...
A61B 5/7267 (2013.01); A61B 5/4803 (2013.01); A61B 5/7257 (2013.01); G10L 25/15 (2013.01); G10L 25/18 (2013.01); G10L 25/21 (2013.01); G10L 25/24 (2013.01); G10L 25/30 (2013.01); G10L 25/45 (2013.01); G10L 25/66 (2013.01); G10L 25/90 (2013.01); G10L 25/93 (2013.01);
Abstract

The present disclosure relates to a difficult airway evaluation method and device based on a machine learning voice technology. The method includes the following steps: acquiring voice data of a patient; carrying out feature extraction on the voice data, obtaining a pitch period of pronunciations, and acquiring a voiced sound feature and unvoiced sound features based on the pitch period of pronunciations; and constructing a difficult airway evaluation classifier based on the machine learning voice technology, analyzing the received voiced sound feature and unvoiced sound features by the trained difficult airway evaluation classifier, and carrying out scoring on the severity of a difficult airway to obtain an evaluation result of the difficult airway.


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