Difficult airway evaluation method and device based on machine learning voice technology

US12127856B2 · kind B2 · utility

Assignee

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

Inventors

• Hong Jiang · Beijing, CN
• Ming Xia · San Jose, US
• Ren Zhou · Fremont, US
• Shuang Cao · 安丰镇, CN
• Tian Yi Xu · Shanghai, CN
• Jie Wang · Kunming, CN
• Chen JIN · Shanghai, CN
• Bei Pei · Shanghai, CN

Key dates

• Filing date: Jul 7, 2022
• Grant date: Oct 29, 2024
• Expiry date: Mar 23, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G10L25/93
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.