Difficulty airway evaluation method and device based on deep learning voiceprint recognition

A technology of voiceprint recognition and deep learning, applied in speech analysis, instruments, etc., can solve problems such as low positive evaluation value, poor incidence of complications and disabilities, complicated process, etc., to avoid The effect of manual measurement, avoiding over-fitting, and precise early warning

Pending Publication Date: 2021-10-29
SHANGHAI NINTH PEOPLES HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE +1
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Problems solved by technology

However, despite great advances and improvements in endotracheal intubation techniques and equipment, the incidence of perioperative complications and disability due to difficult airways has not been significantly improved, especially for unanticipated difficulties ai...

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  • Difficulty airway evaluation method and device based on deep learning voiceprint recognition
  • Difficulty airway evaluation method and device based on deep learning voiceprint recognition

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[0021] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0022] Embodiments of the present invention relate to a difficult airway assessment method based on deep learning voiceprint recognition, such as figure 1 As shown, the following steps are included: obtaining the voice data of the patient; performing feature extraction on the voice data to obtain acoustic features, voiceprint features and voice recognition features; constructing a difficult airway classifier based on voice tech...

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Abstract

The invention relates to a difficult airway evaluation method and device based on deep learning voiceprint recognition. The method comprises the following steps: acquiring voice data of a patient; performing feature extraction on the voice data to obtain acoustic features, voiceprint features and voice recognition features; and constructing a difficult airway classifier based on the voice technology, analyzing the extracted acoustic features, voiceprint features and voice recognition features through the trained difficult airway classifier, and scoring the severity of the difficult airway to obtain an evaluation result of the difficult airway. According to the method, early warning can be accurately carried out on difficult airways in clinical anesthesia.

Description

technical field [0001] The present invention relates to the field of computer-aided technology, in particular to a difficult airway assessment method and device based on deep learning voiceprint recognition. Background technique [0002] Endotracheal intubation is an important means for anesthesiologists to manage the airway of patients under general anesthesia. It plays an important role in maintaining airway patency, ventilation and oxygen supply, respiratory support, and maintenance of oxygenation. However, despite great advances and improvements in endotracheal intubation techniques and equipment, the incidence of perioperative complications and disability due to difficult airways has not been significantly improved, especially for unanticipated difficulties airway. At present, methods for evaluating difficult airway generally include Mallampatti classification, LEMON score, Wilson score and auxiliary CT, MRI, US, etc. The process is complicated and the positive evaluat...

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Application Information

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IPC IPC(8): G10L25/03G10L25/27G10L25/30G10L25/66
CPCG10L25/03G10L25/30G10L25/27G10L25/66
Inventor 夏明姜虹钱彦旻周韧曹爽周之恺徐天意王杰金晨昱裴蓓
Owner SHANGHAI NINTH PEOPLES HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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