Lung breath sound classifying method, device and terminal equipment

A classification method and breath sound technology, applied in medical science, diagnosis, auscultation instruments, etc., can solve the problem of low lung breath sound classification efficiency, and achieve the effect of improving classification efficiency

Inactive Publication Date: 2019-03-01
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the classification of lung breath sounds depends entirely on the ex

Method used

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  • Lung breath sound classifying method, device and terminal equipment
  • Lung breath sound classifying method, device and terminal equipment
  • Lung breath sound classifying method, device and terminal equipment

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Embodiment Construction

[0028] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0029] The image detection method provided in the embodiment of the present application can be applied to terminal devices. Exemplarily, the above-mentioned terminal devices include but are not limited to: smartphones, tablet computers, smart wearable devices, and the like.

[0030] It should be understood that when used in this specification and the appended claims, the term "compri...

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Abstract

The invention belongs to the technical field of artificial intelligence, and particularly relates to a lung breath sound classifying method, device and terminal equipment. The classifying method includes the following steps of acquiring sound signals of lung breath sounds of a user; preprocessing the sound signals; extracting acoustic characteristics of the preprocessed sound signals; and obtaining a classification result of the sound signals by analyzing the acoustic characteristics through a type recognition model. By extracting the acoustic characteristics of the preprocessed sound signalsand directly employing the type recognition model to analyze the acoustic characteristics, classification efficiency on the sound signals of the lung breath sounds can be improved.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence, and in particular relates to a classification method, device and terminal equipment of lung breath sounds. Background technique [0002] When a person breathes, the airflow passes through the respiratory tract and alveoli, generating turbulent flow that causes vibration and sound, and the sound transmitted to the body surface through the lung tissue and chest wall is called breath sound. [0003] At present, the classification of lung breath sounds depends entirely on the experience of the auscultator, and the classification efficiency of lung breath sounds is not high. Contents of the invention [0004] In view of this, the present application provides a method, device, and terminal equipment for classifying lung breath sounds, which can effectively improve the efficiency of classifying breath sounds. [0005] The first aspect of the present application provides a me...

Claims

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Application Information

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IPC IPC(8): A61B7/00
CPCA61B7/003
Inventor 王健宗蔡元哲程宁肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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