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Cough disease identification method and device based on deep learning

A technology of deep learning and identification methods, applied in medical science, diagnosis, diagnosis recording/measurement, etc., can solve problems such as inability to judge cough diseases

Pending Publication Date: 2019-03-08
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Since it takes a certain amount of experience to judge cough diseases through cough audio, generally only experienced doctors can judge, and inexperienced people generally cannot judge cough diseases based on cough audio

Method used

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  • Cough disease identification method and device based on deep learning
  • Cough disease identification method and device based on deep learning
  • Cough disease identification method and device based on deep learning

Examples

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Embodiment Construction

[0065]Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0066] figure 1 It is a schematic diagram of the implementation environment involved in a deep learning-based cough disease identification method. The implementation environment includes an audio collection device 100 for collecting cough audio and a server 200 for identifying cough diseases on the cough audio.

[0067] Wherein, the audio collection device 100 may be an independent audio collection...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses a cough disease identification method and device based on deep learning, which comprises extracting sound characteristics of the cough audio from a plurality of cough audio frame sequences; obtaining the sound characteristics of the cough audio from several cough audio frame sequences; classifying and predictingthe sound characteristics of the cough audio through a cough disease recognition model to obtain a cough disease label corresponding to the cough audio; outputting a cough disease identification result corresponding to the cough audio according to the cough disease label. Cough disease identification method and device based on deep learning has the advantage of convenience and rapidness that cough disease identification method and device based on deep learning automatically recognize cough diseases according to cough audio frequency by the adoption of in-depth learning method and cough disease recognition model and don't need to recognize cough diseases according to human experience.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to a method and device for identifying cough diseases based on deep learning. Background technique [0002] Cough is a common symptom of the respiratory tract, which is caused by inflammation, foreign body, physical or chemical stimulation of the trachea, bronchial mucosa or pleura. Cough is a physiological symptom of various cough diseases, and different cough diseases have different cough characteristics. In medicine, experienced doctors can judge cough diseases based on the characteristics of the patient's coughing sound. Common cough diseases and their characteristics include: [0003] 1) Pure dry cough or pure wet cough - postnasal drip syndrome. [0004] 2) Dry cough ending with wheezing - asthma. [0005] 3) Roaring cough with high pitch - acute laryngitis. [0006] 4) Cough with clicking sound - chronic obstructive pulmonary disease. [0007] 5)...

Claims

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Application Information

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IPC IPC(8): A61B5/08A61B5/00
CPCA61B5/0823A61B5/4803A61B5/7203A61B5/7257A61B5/7267
Inventor 彭话易蔡元哲黄章成王健宗肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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